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 [`Albert` model](https://keras.io/api/keras_hub/models/albert) 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:** albert_backbone
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* **trainable:** True
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* **vocabulary_size:** 30000
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* **num_layers:** 24
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* **num_heads:** 16
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* **num_groups:** 1
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* **num_inner_repetitions:** 1
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* **embedding_dim:** 128
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* **hidden_dim:** 1024
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* **intermediate_dim:** 4096
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* **dropout:** 0
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* **max_sequence_length:** 512
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* **num_segments:** 2
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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 (760 kB). View file
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config.json
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{
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"module": "keras_nlp.src.models.albert.albert_backbone",
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"class_name": "AlbertBackbone",
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"config": {
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"name": "albert_backbone",
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"trainable": true,
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"vocabulary_size": 30000,
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"num_layers": 24,
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"num_heads": 16,
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"num_groups": 1,
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"num_inner_repetitions": 1,
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"embedding_dim": 128,
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"hidden_dim": 1024,
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"intermediate_dim": 4096,
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"dropout": 0,
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"max_sequence_length": 512,
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"num_segments": 2
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},
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"registered_name": "keras_nlp>AlbertBackbone",
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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": 17683968,
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"date_saved": "2023-12-27@01:59:57"
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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:a00140f1294b2263d056c3964f078cdce1b5c56f6d4847903a449c04de517b50
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size 70794792
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tokenizer.json
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{
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"module": "keras_nlp.src.models.albert.albert_tokenizer",
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"class_name": "AlbertTokenizer",
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"config": {
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"name": "albert_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>AlbertTokenizer",
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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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