Divyasreepat
commited on
Commit
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Upload folder using huggingface_hub
Browse files- README.md +16 -0
- assets/tokenizer/vocabulary.txt +0 -0
- config.json +18 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- tokenizer.json +21 -0
README.md
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---
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library_name: keras-hub
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---
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This is a [`DistilBert` model](https://keras.io/api/keras_hub/models/distil_bert) 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:** distil_bert_backbone
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* **trainable:** True
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* **vocabulary_size:** 28996
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* **num_layers:** 6
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* **num_heads:** 12
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* **hidden_dim:** 768
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* **intermediate_dim:** 3072
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* **dropout:** 0.1
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* **max_sequence_length:** 512
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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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assets/tokenizer/vocabulary.txt
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config.json
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{
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"module": "keras_nlp.src.models.distil_bert.distil_bert_backbone",
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"class_name": "DistilBertBackbone",
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"config": {
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"name": "distil_bert_backbone",
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"trainable": true,
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"vocabulary_size": 28996,
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"num_layers": 6,
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"num_heads": 12,
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"hidden_dim": 768,
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"intermediate_dim": 3072,
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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>DistilBertBackbone",
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"assets": [],
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"weights": "model.weights.h5"
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}
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metadata.json
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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": 65190912,
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"date_saved": "2023-12-27@02:07:37"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:081c173172f2f44fd97d53be426f14893a914d1b5c77135ddecfa0cae39eca15
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size 260972816
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tokenizer.json
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{
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"module": "keras_nlp.src.models.distil_bert.distil_bert_tokenizer",
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"class_name": "DistilBertTokenizer",
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"config": {
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"name": "distil_bert_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"vocabulary": null,
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"sequence_length": null,
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"lowercase": false,
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"strip_accents": false,
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"split": true,
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"suffix_indicator": "##",
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"oov_token": "[UNK]"
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},
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"registered_name": "keras_nlp>DistilBertTokenizer",
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"assets": [
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"assets/tokenizer/vocabulary.txt"
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],
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"weights": null
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}
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