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Muennighoff
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c9eda65
1
Parent(s):
ef195e8
Add German models
Browse files
app.py
CHANGED
@@ -151,6 +151,12 @@ EXTERNAL_MODELS = [
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"allenai-specter",
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"bert-base-uncased",
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"contriever-base-msmarco",
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"glove.6B.300d",
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"gtr-t5-base",
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"gtr-t5-large",
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@@ -164,19 +170,33 @@ EXTERNAL_MODELS = [
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"sentence-t5-large",
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"sentence-t5-xl",
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"sentence-t5-xxl",
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"sup-simcse-bert-base-uncased",
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"text-embedding-ada-002",
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"text-similarity-ada-001",
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"text-similarity-babbage-001",
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"text-similarity-curie-001",
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"text-similarity-davinci-001",
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"text-search-ada-001",
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"text-search-babbage-001",
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"text-search-curie-001",
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"text-search-davinci-001",
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"unsup-simcse-bert-base-uncased",
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]
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EXTERNAL_MODEL_TO_LINK = {
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"LASER2": "https://github.com/facebookresearch/LASER",
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"text-embedding-ada-002": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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"text-similarity-ada-001": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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@@ -218,6 +238,16 @@ EXTERNAL_MODEL_TO_LINK = {
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}
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EXTERNAL_MODEL_TO_DIM = {
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"LASER2": 1024,
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"LaBSE": 768,
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"all-MiniLM-L12-v2": 384,
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"allenai-specter",
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"bert-base-uncased",
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"contriever-base-msmarco",
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"cross-en-de-roberta-sentence-transformer",
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"gbert-base",
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"gbert-large",
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"gelectra-base",
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"gelectra-large",
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"gottbert-base",
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"glove.6B.300d",
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"gtr-t5-base",
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"gtr-t5-large",
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"sentence-t5-large",
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"sentence-t5-xl",
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"sentence-t5-xxl",
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"sgpt-bloom-1b7-nli",
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"sgpt-bloom-7b1-msmarco",
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"sup-simcse-bert-base-uncased",
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"text-embedding-ada-002",
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"text-similarity-ada-001",
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"text-similarity-babbage-001",
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"text-similarity-curie-001",
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"text-similarity-davinci-001",
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"text-search-ada-doc-001",
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"text-search-ada-001",
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"text-search-babbage-001",
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"text-search-curie-001",
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"text-search-davinci-001",
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"unsup-simcse-bert-base-uncased",
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"use-cmlm-multilingual",
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"xlm-roberta-large",
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]
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EXTERNAL_MODEL_TO_LINK = {
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"xlm-roberta-large": "https://huggingface.co/xlm-roberta-large",
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"use-cmlm-multilingual": "https://huggingface.co/sentence-transformers/use-cmlm-multilingual",
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"cross-en-de-roberta-sentence-transformer": "https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer",
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"gbert-base": "https://huggingface.co/deepset/gbert-base",
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"gbert-large": "https://huggingface.co/deepset/gbert-large",
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"gelectra-base": "https://huggingface.co/deepset/gelectra-base",
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"gelectra-large": "https://huggingface.co/deepset/gelectra-large",
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"gottbert-base": "https://huggingface.co/uklfr/gottbert-base",
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"LASER2": "https://github.com/facebookresearch/LASER",
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"text-embedding-ada-002": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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"text-similarity-ada-001": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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}
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EXTERNAL_MODEL_TO_DIM = {
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"xlm-roberta-large": 1024,
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"use-cmlm-multilingual": 768,
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"gottbert-base": 768,
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"cross-en-de-roberta-sentence-transformer": 768,
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"gbert-base": 768,
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"gbert-large": 1024,
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"gelectra-base": 768,
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"gelectra-large": 1024,
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"gottbert-base": 768,
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"LASER2": 1024,
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"LaBSE": 768,
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"all-MiniLM-L12-v2": 384,
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