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KennethEnevoldsen
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Merge pull request #38 from Samoed/update_models_names
Browse files- EXTERNAL_MODEL_RESULTS.json +0 -0
- model_meta.yaml +221 -221
- refresh.py +4 -2
EXTERNAL_MODEL_RESULTS.json
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model_meta.yaml
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model_meta:
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link: https://platform.baichuan-ai.com/docs/text-Embedding
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/vesteinn/DanskBERT
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seq_len: 514
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size: 125
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/jhu-clsp/FollowIR-7B
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seq_len: 4096
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size: 7240
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is_propietary: false
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is_sentence_transformer_compatible: false
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uses_instruct: true
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link: https://huggingface.co/GritLM/GritLM-7B
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seq_len: 4096
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size: 7240
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is_propietary: false
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is_sentence_transformer_compatible: false
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uses_instruct: true
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link: https://huggingface.co/GritLM/GritLM-7B
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seq_len: 4096
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size: 7240
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is_propietary: false
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is_sentence_transformer_compatible: false
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uses_instruct: false
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link: https://github.com/facebookresearch/LASER
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seq_len: N/A
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size: 43
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
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seq_len: 4096
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size: 6607
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
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seq_len: 4096
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size: 6607
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
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seq_len: 8192
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size: 7505
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
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seq_len: 8192
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size: 7505
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
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seq_len: 32768
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size: 7111
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
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seq_len: 32768
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size: 7111
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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-
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
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seq_len: 4096
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size: 1280
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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-
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link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
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seq_len: 4096
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size: 1280
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://huggingface.co/sentence-transformers/LaBSE
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seq_len: 512
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size: 471
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is_proprietary: false
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is_sentence_transformers_compatible: false
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uses_instruct: true
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link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
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seq_len: 512
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size: null
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is_proprietary: true
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is_sentence_transformers_compatible: false
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uses_instruct: false
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link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral
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seq_len: 32768
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size: 7111
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: true
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link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
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seq_len: 512
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size: 33
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
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seq_len: 512
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size: 23
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
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seq_len: 512
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size: 23
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is_external: true
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: true
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link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
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seq_len: 514
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size: 110
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
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size: 110
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is_external: true
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is_sentence_transformers_compatible: true
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link: https://huggingface.co/sentence-transformers/allenai-specter
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seq_len: 512
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size: 110
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/Geotrend/bert-base-10lang-cased
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size: 138
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/Geotrend/bert-base-15lang-cased
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is_proprietary: false
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/Geotrend/bert-base-25lang-cased
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seq_len: 512
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size: 138
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/google-bert/bert-base-multilingual-cased
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seq_len: 512
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size: 179
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link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
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size: 168
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is_sentence_transformers_compatible: true
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uses_instruct: false
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link: https://huggingface.co/KB/bert-base-swedish-cased
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size: 125
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dim: 768
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link: https://huggingface.co/BAAI/bge-base-en-v1.5
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link: https://huggingface.co/BAAI/bge-base-en-v1.5
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is_external: true
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link: https://huggingface.co/BAAI/bge-large-en-v1.5
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size: 1340
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link: https://huggingface.co/BAAI/bge-large-en-v1.5
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link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
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size: 326
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link: https://huggingface.co/BAAI/bge-large-zh-v1.5
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link: https://huggingface.co/BAAI/bge-m3
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seq_len: 8192
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size: 567
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dim: 1024
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is_external: true
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link: https://huggingface.co/BAAI/bge-m3
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seq_len: 8192
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size: 567
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dim: 1024
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is_external: true
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link: https://huggingface.co/BAAI/bge-small-en-v1.5
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size: 24
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link: https://huggingface.co/almanach/camembert-base
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link: https://huggingface.co/almanach/camembert-large
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link: https://huggingface.co/nthakur/contriever-base-msmarco
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size: 110
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link: https://huggingface.co/facebook/contriever
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link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
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seq_len: 514
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link: https://huggingface.co/chcaa/dfm-encoder-large-v1
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link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
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link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
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seq_len: 512
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1680 |
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1681 |
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1688 |
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1689 |
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1690 |
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1693 |
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1697 |
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1698 |
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1706 |
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1715 |
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1724 |
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1725 |
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1726 |
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1733 |
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1734 |
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1735 |
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1738 |
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1743 |
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baichuan-ai__text-embedding:
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Cohere__Cohere-embed-english-v3.0:
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Cohere__Cohere-embed-multilingual-light-v3.0:
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vesteinn__DanskBERT:
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jhu-clsp__FollowIR-7B:
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McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised:
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link: https://huggingface.co/almanach/camembert-large
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link: https://huggingface.co/nthakur/contriever-base-msmarco
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link: https://huggingface.co/facebook/contriever
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link: https://huggingface.co/facebook/contriever
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link: https://huggingface.co/chcaa/dfm-encoder-large-v1
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link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
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link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
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link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
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link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
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distilbert__distilbert-base-uncased:
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link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
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link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
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link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
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link: https://huggingface.co/dwzhu/e5-base-4k
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link: https://huggingface.co/intfloat/e5-base-v2
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link: https://huggingface.co/intfloat/e5-base
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link: https://huggingface.co/intfloat/e5-large-v2
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link: https://huggingface.co/intfloat/e5-large
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link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
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link: https://huggingface.co/intfloat/e5-mistral-7b-instruct-noinstruct
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link: https://huggingface.co/intfloat/e5-small
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link: https://huggingface.co/jonfd/electra-small-nordic
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link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
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link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html
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link: https://huggingface.co/google/flan-t5-base
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link: https://huggingface.co/google/flan-t5-large
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link: https://huggingface.co/flaubert/flaubert_base_cased
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link: https://huggingface.co/flaubert/flaubert_base_uncased
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link: https://huggingface.co/flaubert/flaubert_large_cased
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link: https://huggingface.co/deepset/gbert-base
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link: https://huggingface.co/deepset/gbert-large
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seq_len: 512
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size: 337
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link: https://huggingface.co/deepset/gelectra-base
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size: 110
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link: https://huggingface.co/deepset/gelectra-large
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link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
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link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
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link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
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link: https://huggingface.co/uklfr/gottbert-base
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link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct
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link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct
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link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
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link: https://huggingface.co/sentence-transformers/gtr-t5-xl
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hkunlp__instructor-base:
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link: https://huggingface.co/hkunlp/instructor-base
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link: https://huggingface.co/hkunlp/instructor-large
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link: https://huggingface.co/hkunlp/instructor-xl
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link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
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link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
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link: https://huggingface.co/castorini/monobert-large-msmarco
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link: https://huggingface.co/castorini/monot5-3b-msmarco-10k
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link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
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link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
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link: https://huggingface.co/intfloat/multilingual-e5-base
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link: https://huggingface.co/intfloat/multilingual-e5-large
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link: https://huggingface.co/intfloat/multilingual-e5-large-instruct
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link: https://huggingface.co/intfloat/multilingual-e5-small
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link: https://huggingface.co/NbAiLab/nb-bert-base
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link: https://huggingface.co/NbAiLab/nb-bert-large
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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link: https://huggingface.co/ltg/norbert3-base
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link: https://huggingface.co/ltg/norbert3-large
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link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
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link: https://huggingface.co/dangvantuan/sentence-camembert-base
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link: https://huggingface.co/dangvantuan/sentence-camembert-large
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link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
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link: https://huggingface.co/sentence-transformers/sentence-t5-base
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size: 110
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link: https://huggingface.co/sentence-transformers/sentence-t5-large
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size: 168
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link: https://huggingface.co/sentence-transformers/sentence-t5-xl
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link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
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link: https://huggingface.co/ipipan/silver-retriever-base-v1
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link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
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link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
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link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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link: https://openai.com/blog/new-and-improved-embedding-model
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link: https://openai.com/blog/new-and-improved-embedding-model
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1380 |
+
uses_instruct: true
|
1381 |
+
openai__text-search-ada-001:
|
1382 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1383 |
seq_len: 2046
|
1384 |
size: null
|
|
|
1387 |
is_proprietary: true
|
1388 |
is_sentence_transformers_compatible: false
|
1389 |
uses_instruct: false
|
1390 |
+
openai__text-search-ada-doc-001:
|
1391 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1392 |
seq_len: 2046
|
1393 |
size: null
|
|
|
1405 |
is_proprietary: true
|
1406 |
is_sentence_transformers_compatible: false
|
1407 |
uses_instruct: false
|
1408 |
+
openai__text-search-babbage-001:
|
1409 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1410 |
seq_len: 2046
|
1411 |
size: null
|
|
|
1414 |
is_proprietary: true
|
1415 |
is_sentence_transformers_compatible: false
|
1416 |
uses_instruct: false
|
1417 |
+
openai__text-search-curie-001:
|
1418 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1419 |
seq_len: 2046
|
1420 |
size: null
|
|
|
1423 |
is_proprietary: true
|
1424 |
is_sentence_transformers_compatible: false
|
1425 |
uses_instruct: false
|
1426 |
+
openai__text-search-davinci-001:
|
1427 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1428 |
seq_len: 2046
|
1429 |
size: null
|
|
|
1432 |
is_proprietary: true
|
1433 |
is_sentence_transformers_compatible: false
|
1434 |
uses_instruct: false
|
1435 |
+
openai__text-similarity-ada-001:
|
1436 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1437 |
seq_len: 2046
|
1438 |
size: null
|
|
|
1441 |
is_proprietary: true
|
1442 |
is_sentence_transformers_compatible: false
|
1443 |
uses_instruct: false
|
1444 |
+
openai__text-similarity-babbage-001:
|
1445 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1446 |
seq_len: 2046
|
1447 |
size: null
|
|
|
1450 |
is_proprietary: true
|
1451 |
is_sentence_transformers_compatible: false
|
1452 |
uses_instruct: false
|
1453 |
+
openai__text-similarity-curie-001:
|
1454 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1455 |
seq_len: 2046
|
1456 |
size: null
|
|
|
1459 |
is_proprietary: true
|
1460 |
is_sentence_transformers_compatible: false
|
1461 |
uses_instruct: false
|
1462 |
+
openai__text-similarity-davinci-001:
|
1463 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1464 |
seq_len: 2046
|
1465 |
size: null
|
|
|
1468 |
is_proprietary: true
|
1469 |
is_sentence_transformers_compatible: false
|
1470 |
uses_instruct: false
|
1471 |
+
orionweller__tart-dual-contriever-msmarco:
|
1472 |
link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco
|
1473 |
seq_len: 512
|
1474 |
size: 110
|
|
|
1477 |
is_proprietary: false
|
1478 |
is_sentence_transformers_compatible: false
|
1479 |
uses_instruct: true
|
1480 |
+
facebook__tart-full-flan-t5-xl:
|
1481 |
link: https://huggingface.co/facebook/tart-full-flan-t5-xl
|
1482 |
seq_len: 512
|
1483 |
size: 2480
|
|
|
1486 |
is_proprietary: false
|
1487 |
is_sentence_transformers_compatible: false
|
1488 |
uses_instruct: true
|
1489 |
+
shibing624__text2vec-base-chinese:
|
1490 |
link: https://huggingface.co/shibing624/text2vec-base-chinese
|
1491 |
seq_len: 512
|
1492 |
size: 102
|
|
|
1495 |
is_proprietary: false
|
1496 |
is_sentence_transformers_compatible: true
|
1497 |
uses_instruct: false
|
1498 |
+
shibing624__text2vec-base-multilingual:
|
1499 |
+
link: https://huggingface.co/shibing624/text2vec-base-multilingual
|
1500 |
+
seq_len: 256
|
1501 |
+
size: 118
|
1502 |
+
dim: 384
|
1503 |
is_external: true
|
1504 |
is_proprietary: false
|
1505 |
is_sentence_transformers_compatible: false
|
1506 |
uses_instruct: false
|
1507 |
+
shibing624__text2vec-large-chinese:
|
1508 |
link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
1509 |
seq_len: 512
|
1510 |
size: 326
|
|
|
1513 |
is_proprietary: false
|
1514 |
is_sentence_transformers_compatible: true
|
1515 |
uses_instruct: false
|
1516 |
+
amazon__titan-embed-text-v1:
|
1517 |
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
1518 |
seq_len: 8000
|
1519 |
size: null
|
|
|
1522 |
is_proprietary: true
|
1523 |
is_sentence_transformers_compatible: false
|
1524 |
uses_instruct: false
|
1525 |
+
izhx__udever-bloom-1b1:
|
1526 |
link: https://huggingface.co/izhx/udever-bloom-1b1
|
1527 |
seq_len: 2048
|
1528 |
size: null
|
|
|
1531 |
is_proprietary: false
|
1532 |
is_sentence_transformers_compatible: true
|
1533 |
uses_instruct: false
|
1534 |
+
izhx__udever-bloom-560m:
|
1535 |
link: https://huggingface.co/izhx/udever-bloom-560m
|
1536 |
seq_len: 2048
|
1537 |
size: null
|
|
|
1540 |
is_proprietary: false
|
1541 |
is_sentence_transformers_compatible: true
|
1542 |
uses_instruct: false
|
1543 |
+
vprelovac__universal-sentence-encoder-multilingual-3:
|
1544 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
|
1545 |
seq_len: 512
|
1546 |
size: null
|
|
|
1549 |
is_proprietary: false
|
1550 |
is_sentence_transformers_compatible: true
|
1551 |
uses_instruct: false
|
1552 |
+
vprelovac__universal-sentence-encoder-multilingual-large-3:
|
1553 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
|
1554 |
seq_len: 512
|
1555 |
size: null
|
|
|
1558 |
is_proprietary: false
|
1559 |
is_sentence_transformers_compatible: true
|
1560 |
uses_instruct: false
|
1561 |
+
princeton-nlp__unsup-simcse-bert-base-uncased:
|
1562 |
link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
|
1563 |
seq_len: 512
|
1564 |
size: 110
|
|
|
1567 |
is_proprietary: false
|
1568 |
is_sentence_transformers_compatible: true
|
1569 |
uses_instruct: false
|
1570 |
+
sentence-transformers__use-cmlm-multilingual:
|
1571 |
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
|
1572 |
seq_len: 512
|
1573 |
size: 472
|
|
|
1575 |
is_external: true
|
1576 |
is_proprietary: false
|
1577 |
is_sentence_transformers_compatible: true
|
1578 |
+
uses_instruct: false
|
1579 |
+
voyageai__voyage-2:
|
1580 |
link: https://docs.voyageai.com/embeddings/
|
1581 |
seq_len: 1024
|
1582 |
size: null
|
|
|
1584 |
is_external: true
|
1585 |
is_proprietary: true
|
1586 |
is_sentence_transformers_compatible: false
|
1587 |
+
uses_instruct: false
|
1588 |
+
voyageai__voyage-code-2:
|
1589 |
link: https://docs.voyageai.com/embeddings/
|
1590 |
seq_len: 16000
|
1591 |
size: null
|
|
|
1593 |
is_external: true
|
1594 |
is_proprietary: true
|
1595 |
is_sentence_transformers_compatible: false
|
1596 |
+
uses_instruct: false
|
1597 |
+
voyageai__voyage-large-2-instruct:
|
1598 |
link: https://docs.voyageai.com/embeddings/
|
1599 |
seq_len: 16000
|
1600 |
size: null
|
|
|
1602 |
is_external: true
|
1603 |
is_proprietary: false
|
1604 |
is_sentence_transformers_compatible: false
|
1605 |
+
uses_instruct: true
|
1606 |
+
voyageai__voyage-law-2:
|
1607 |
link: https://docs.voyageai.com/embeddings/
|
1608 |
seq_len: 16000
|
1609 |
size: null
|
|
|
1611 |
is_external: true
|
1612 |
is_proprietary: true
|
1613 |
is_sentence_transformers_compatible: false
|
1614 |
+
uses_instruct: false
|
1615 |
+
voyageai__voyage-lite-01-instruct:
|
1616 |
link: https://docs.voyageai.com/embeddings/
|
1617 |
seq_len: 4000
|
1618 |
size: null
|
|
|
1620 |
is_external: true
|
1621 |
is_proprietary: true
|
1622 |
is_sentence_transformers_compatible: false
|
1623 |
+
uses_instruct: true
|
1624 |
+
voyageai__voyage-lite-02-instruct:
|
1625 |
link: https://docs.voyageai.com/embeddings/
|
1626 |
seq_len: 4000
|
1627 |
size: 1220
|
|
|
1629 |
is_external: true
|
1630 |
is_proprietary: true
|
1631 |
is_sentence_transformers_compatible: false
|
1632 |
+
uses_instruct: true
|
1633 |
+
voyageai__voyage-multilingual-2:
|
1634 |
link: https://docs.voyageai.com/embeddings/
|
1635 |
seq_len: 32000
|
1636 |
size: null
|
|
|
1638 |
is_external: true
|
1639 |
is_proprietary: true
|
1640 |
is_sentence_transformers_compatible: false
|
1641 |
+
uses_instruct: false
|
1642 |
+
FacebookAI__xlm-roberta-base:
|
1643 |
+
link: https://huggingface.co/FacebookAI/xlm-roberta-base
|
1644 |
seq_len: 514
|
1645 |
size: 279
|
1646 |
dim: 768
|
1647 |
is_external: true
|
1648 |
is_proprietary: false
|
1649 |
is_sentence_transformers_compatible: true
|
1650 |
+
uses_instruct: false
|
1651 |
+
FacebookAI__xlm-roberta-large:
|
1652 |
+
link: https://huggingface.co/FacebookAI/xlm-roberta-large
|
1653 |
seq_len: 514
|
1654 |
size: 560
|
1655 |
dim: 1024
|
|
|
1657 |
is_proprietary: false
|
1658 |
is_sentence_transformers_compatible: true
|
1659 |
uses_instruct: false
|
1660 |
+
cointegrated__rubert-tiny:
|
1661 |
link: https://huggingface.co/cointegrated/rubert-tiny
|
1662 |
seq_len: 514
|
1663 |
size: 12
|
|
|
1666 |
is_proprietary: false
|
1667 |
is_sentence_transformers_compatible: true
|
1668 |
uses_instruct: false
|
1669 |
+
cointegrated__rubert-tiny2:
|
1670 |
link: https://huggingface.co/cointegrated/rubert-tiny2
|
1671 |
seq_len: 514
|
1672 |
size: 29
|
|
|
1675 |
is_proprietary: false
|
1676 |
is_sentence_transformers_compatible: true
|
1677 |
uses_instruct: false
|
1678 |
+
ai-forever__sbert_large_mt_nlu_ru:
|
1679 |
link: https://huggingface.co/ai-forever/sbert_large_mt_nlu_ru
|
1680 |
seq_len: 514
|
1681 |
size: 427
|
|
|
1684 |
is_proprietary: false
|
1685 |
is_sentence_transformers_compatible: true
|
1686 |
uses_instruct: false
|
1687 |
+
ai-forever__sbert_large_nlu_ru:
|
1688 |
link: https://huggingface.co/ai-forever/sbert_large_nlu_ru
|
1689 |
seq_len: 512
|
1690 |
size: 427
|
|
|
1693 |
is_proprietary: false
|
1694 |
is_sentence_transformers_compatible: true
|
1695 |
uses_instruct: false
|
1696 |
+
deepvk__USER-base:
|
1697 |
link: https://huggingface.co/deepvk/USER-base
|
1698 |
seq_len: 512
|
1699 |
size: 124
|
|
|
1702 |
is_proprietary: false
|
1703 |
is_sentence_transformers_compatible: true
|
1704 |
uses_instruct: false
|
1705 |
+
deepvk__USER-bge-m3:
|
1706 |
link: https://huggingface.co/deepvk/USER-bge-m3
|
1707 |
seq_len: 8192
|
1708 |
size: 359
|
|
|
1711 |
is_proprietary: false
|
1712 |
is_sentence_transformers_compatible: true
|
1713 |
uses_instruct: false
|
1714 |
+
deepvk__deberta-v1-base:
|
1715 |
link: https://huggingface.co/deepvk/deberta-v1-base
|
1716 |
seq_len: 512
|
1717 |
size: 124
|
|
|
1720 |
is_proprietary: false
|
1721 |
is_sentence_transformers_compatible: true
|
1722 |
uses_instruct: false
|
1723 |
+
sergeyzh__rubert-tiny-turbo:
|
1724 |
link: https://huggingface.co/sergeyzh/rubert-tiny-turbo
|
1725 |
seq_len: 2048
|
1726 |
size: 29
|
|
|
1729 |
is_proprietary: false
|
1730 |
is_sentence_transformers_compatible: true
|
1731 |
uses_instruct: false
|
1732 |
+
sergeyzh__LaBSE-ru-turbo:
|
1733 |
link: https://huggingface.co/sergeyzh/LaBSE-ru-turbo
|
1734 |
seq_len: 512
|
1735 |
size: 128
|
|
|
1738 |
is_proprietary: false
|
1739 |
is_sentence_transformers_compatible: true
|
1740 |
uses_instruct: false
|
1741 |
+
DeepPavlov__distilrubert-small-cased-conversational:
|
1742 |
link: https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational
|
1743 |
seq_len: 512
|
1744 |
size: 106
|
|
|
1747 |
is_proprietary: false
|
1748 |
is_sentence_transformers_compatible: true
|
1749 |
uses_instruct: false
|
1750 |
+
DeepPavlov__rubert-base-cased:
|
1751 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased
|
1752 |
seq_len: 512
|
1753 |
size: 180
|
|
|
1756 |
is_proprietary: false
|
1757 |
is_sentence_transformers_compatible: true
|
1758 |
uses_instruct: false
|
1759 |
+
DeepPavlov__rubert-base-cased-sentence:
|
1760 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased-sentence
|
1761 |
seq_len: 512
|
1762 |
size: 180
|
|
|
1765 |
is_proprietary: false
|
1766 |
is_sentence_transformers_compatible: true
|
1767 |
uses_instruct: false
|
1768 |
+
cointegrated__LaBSE-en-ru:
|
1769 |
link: https://huggingface.co/cointegrated/LaBSE-en-ru
|
1770 |
seq_len: 512
|
1771 |
size: 129
|
refresh.py
CHANGED
@@ -128,7 +128,9 @@ def make_clickable_model(model_name: str, link: None | str = None) -> str:
|
|
128 |
if link is None:
|
129 |
link = "https://huggingface.co/" + model_name
|
130 |
# Remove user from model name
|
131 |
-
|
|
|
|
|
132 |
|
133 |
|
134 |
def add_subset(examples):
|
@@ -659,7 +661,7 @@ def refresh_leaderboard() -> tuple[list, dict]:
|
|
659 |
)
|
660 |
for board, board_config in pbar_tasks:
|
661 |
# Optional fetch only for a specific board
|
662 |
-
|
663 |
# Very hacky - should fix this as soon as possible
|
664 |
if board == "bright_long":
|
665 |
TASK_TO_METRIC["Retrieval"] = ["recall_at_1"]
|
|
|
128 |
if link is None:
|
129 |
link = "https://huggingface.co/" + model_name
|
130 |
# Remove user from model name
|
131 |
+
model_name = model_name.split("/")[-1]
|
132 |
+
model_name = model_name.split("__")[-1]
|
133 |
+
return f'<a target="_blank" style="text-decoration: underline" href="{link}">{model_name}</a>'
|
134 |
|
135 |
|
136 |
def add_subset(examples):
|
|
|
661 |
)
|
662 |
for board, board_config in pbar_tasks:
|
663 |
# Optional fetch only for a specific board
|
664 |
+
if board != "ru": continue
|
665 |
# Very hacky - should fix this as soon as possible
|
666 |
if board == "bright_long":
|
667 |
TASK_TO_METRIC["Retrieval"] = ["recall_at_1"]
|