Divyasreepat
commited on
Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +20 -0
- assets/tokenizer/vocabulary.spm +0 -0
- config.json +22 -0
- metadata.json +6 -0
- model.weights.h5 +3 -0
- tokenizer.json +16 -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 [`T5` model](https://keras.io/api/keras_hub/models/t5) 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:** t5_backbone
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* **trainable:** True
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* **vocabulary_size:** 32128
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* **hidden_dim:** 1024
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* **intermediate_dim:** 4096
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* **num_layers:** 24
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* **num_heads:** 16
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* **activation:** relu
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* **key_value_dim:** None
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* **dropout:** 0.1
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* **use_gated_activation:** False
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* **layer_norm_epsilon:** 1e-06
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* **tie_embedding_weights:** True
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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.spm
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Binary file (792 kB). View file
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config.json
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{
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"module": "keras_nlp.src.models.t5.t5_backbone",
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"class_name": "T5Backbone",
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"config": {
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"name": "t5_backbone",
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"trainable": true,
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"vocabulary_size": 32128,
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"hidden_dim": 1024,
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"intermediate_dim": 4096,
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"num_layers": 24,
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"num_heads": 16,
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"activation": "relu",
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"key_value_dim": null,
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"dropout": 0.1,
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"use_gated_activation": false,
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"layer_norm_epsilon": 1e-06,
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"tie_embedding_weights": true
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},
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"registered_name": "keras_nlp>T5Backbone",
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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": 737668096,
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"date_saved": "2023-12-27@02:29:08"
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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:e143798343c312084853e2e24b62b3e38d3f421f5162973f70ff1f811f6c8010
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size 2952445264
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tokenizer.json
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{
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"module": "keras_nlp.src.models.t5.t5_tokenizer",
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"class_name": "T5Tokenizer",
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"config": {
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"name": "t5_tokenizer",
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"trainable": true,
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"dtype": "int32",
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"proto": null,
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"sequence_length": null
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},
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"registered_name": "keras_nlp>T5Tokenizer",
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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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}
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