Divyasreepat commited on
Commit
1aac136
1 Parent(s): 952db80

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ assets/tokenizer/vocabulary.spm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: keras-hub
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+ ---
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+ This is a [`XLMRoberta` model](https://keras.io/api/keras_hub/models/xlm_roberta) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
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+ Model config:
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+ * **name:** xlm_roberta_backbone
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+ * **trainable:** True
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+ * **vocabulary_size:** 250002
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+ * **num_layers:** 24
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+ * **num_heads:** 16
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+ * **hidden_dim:** 1024
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+ * **intermediate_dim:** 4096
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+ * **dropout:** 0.1
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+ * **max_sequence_length:** 512
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+
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+ This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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+ size 5069051
config.json ADDED
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+ {
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+ "module": "keras_nlp.src.models.xlm_roberta.xlm_roberta_backbone",
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+ "class_name": "XLMRobertaBackbone",
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+ "config": {
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+ "name": "xlm_roberta_backbone",
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+ "trainable": true,
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+ "vocabulary_size": 250002,
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+ "num_layers": 24,
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+ "num_heads": 16,
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+ "hidden_dim": 1024,
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+ "intermediate_dim": 4096,
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+ "dropout": 0.1,
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+ "max_sequence_length": 512
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+ },
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+ "registered_name": "keras_nlp>XLMRobertaBackbone",
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+ "assets": [],
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+ "weights": "model.weights.h5"
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+ }
metadata.json ADDED
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+ {
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+ "keras_version": "3.0.1",
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+ "keras_nlp_version": "0.7.0",
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+ "parameter_count": 558837760,
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+ "date_saved": "2023-12-27@02:40:35"
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tokenizer.json ADDED
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+ {
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+ "module": "keras_nlp.src.models.xlm_roberta.xlm_roberta_tokenizer",
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+ "class_name": "XLMRobertaTokenizer",
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+ "config": {
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+ "name": "xlm_roberta_tokenizer",
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+ "trainable": true,
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+ "dtype": "int32",
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+ "proto": null,
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+ },
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+ "registered_name": "keras_nlp>XLMRobertaTokenizer",
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+ "assets": [
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+ "assets/tokenizer/vocabulary.spm"
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+ ],
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+ "weights": null
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+ }