Upload folder using huggingface_hub

README.md

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+---
+library_name: keras-hub
+---
+This is a [`Bert` model](https://keras.io/api/keras_hub/models/bert) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** bert_backbone
+* **trainable:** True
+* **vocabulary_size:** 30522
+* **num_layers:** 24
+* **num_heads:** 16
+* **hidden_dim:** 1024
+* **intermediate_dim:** 4096
+* **dropout:** 0.1
+* **max_sequence_length:** 512
+* **num_segments:** 2
+
+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.

config.json

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+{
+    "module": "keras_nlp.src.models.bert.bert_backbone",
+    "class_name": "BertBackbone",
+    "config": {
+        "name": "bert_backbone",
+        "trainable": true,
+        "vocabulary_size": 30522,
+        "num_layers": 24,
+        "num_heads": 16,
+        "hidden_dim": 1024,
+        "intermediate_dim": 4096,
+        "dropout": 0.1,
+        "max_sequence_length": 512,
+        "num_segments": 2
+    },
+    "registered_name": "keras_nlp>BertBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 335141888,
+    "date_saved": "2023-12-27@02:04:23"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6db467aae557bb71a9ff4ec6d65145247b3e6febd9b83ed4bccf610cb7c2b7f2
+size 1341357928

tokenizer.json

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+{
+    "module": "keras_nlp.src.models.bert.bert_tokenizer",
+    "class_name": "BertTokenizer",
+    "config": {
+        "name": "bert_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "vocabulary": null,
+        "sequence_length": null,
+        "lowercase": true,
+        "strip_accents": false,
+        "split": true,
+        "suffix_indicator": "##",
+        "oov_token": "[UNK]"
+    },
+    "registered_name": "keras_nlp>BertTokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.txt"
+    ],
+    "weights": null
+}