Divyasreepat
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Upload folder using huggingface_hub
Browse files- README.md +16 -0
- assets/tokenizer/merges.txt +0 -0
- assets/tokenizer/vocabulary.json +0 -0
- config.json +18 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- tokenizer.json +17 -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 [`Bart` model](https://keras.io/api/keras_hub/models/bart) 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:** bart_backbone
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* **trainable:** True
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* **vocabulary_size:** 50265
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* **num_layers:** 12
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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:** 1024
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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/merges.txt
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assets/tokenizer/vocabulary.json
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config.json
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{
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"module": "keras_nlp.src.models.bart.bart_backbone",
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"class_name": "BartBackbone",
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"config": {
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"name": "bart_backbone",
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"trainable": true,
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"vocabulary_size": 50265,
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"num_layers": 12,
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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": 1024
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},
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"registered_name": "keras_nlp>BartBackbone",
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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": 406287360,
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"date_saved": "2023-12-27@02:01:23"
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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 sha256:71b3f41b4d441866d78340bfd810e75127448164ce157ec6dbd254d11f47506c
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size 1626191048
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tokenizer.json
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{
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"module": "keras_nlp.src.models.bart.bart_tokenizer",
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"class_name": "BartTokenizer",
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"config": {
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"name": "bart_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"sequence_length": null,
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"add_prefix_space": false
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},
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"registered_name": "keras_nlp>BartTokenizer",
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"assets": [
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"assets/tokenizer/merges.txt",
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"assets/tokenizer/vocabulary.json"
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],
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"weights": null
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}
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