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Upload folder using huggingface_hub

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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 [`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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+
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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.
assets/tokenizer/vocabulary.spm ADDED
Binary file (760 kB). View file
 
config.json ADDED
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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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+ }
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": 17683968,
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+ "date_saved": "2023-12-27@01:59:57"
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+ }
model.weights.h5 ADDED
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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
tokenizer.json ADDED
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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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+ }