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.
+This model is related to a `Classifier` task.
+
+Model config:
+* **name:** bert_backbone
+* **trainable:** True
+* **vocabulary_size:** 30522
+* **num_layers:** 2
+* **num_heads:** 2
+* **hidden_dim:** 128
+* **intermediate_dim:** 512
+* **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": 2,
+        "num_heads": 2,
+        "hidden_dim": 128,
+        "intermediate_dim": 512,
+        "dropout": 0.1,
+        "max_sequence_length": 512,
+        "num_segments": 2
+    },
+    "registered_name": "keras_nlp>BertBackbone"
+}

metadata.json

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+{
+    "keras_version": "3.3.2",
+    "keras_nlp_version": "0.10.0.dev0",
+    "parameter_count": 4385920,
+    "date_saved": "2024-04-26@21:06:10"
+}

model.weights.h5

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+size 17632104

preprocessor.json

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+{
+    "module": "keras_nlp.src.models.bert.bert_preprocessor",
+    "class_name": "BertPreprocessor",
+    "config": {
+        "name": "bert_preprocessor_2",
+        "trainable": true,
+        "dtype": "float32",
+        "tokenizer": {
+            "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"
+        },
+        "sequence_length": 512,
+        "truncate": "round_robin"
+    },
+    "registered_name": "keras_nlp>BertPreprocessor"
+}

task.json

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+{
+    "module": "keras_nlp.src.models.bert.bert_classifier",
+    "class_name": "BertClassifier",
+    "config": {
+        "backbone": {
+            "module": "keras_nlp.src.models.bert.bert_backbone",
+            "class_name": "BertBackbone",
+            "config": {
+                "name": "bert_backbone",
+                "trainable": true,
+                "vocabulary_size": 30522,
+                "num_layers": 2,
+                "num_heads": 2,
+                "hidden_dim": 128,
+                "intermediate_dim": 512,
+                "dropout": 0.1,
+                "max_sequence_length": 512,
+                "num_segments": 2
+            },
+            "registered_name": "keras_nlp>BertBackbone"
+        },
+        "preprocessor": {
+            "module": "keras_nlp.src.models.bert.bert_preprocessor",
+            "class_name": "BertPreprocessor",
+            "config": {
+                "name": "bert_preprocessor_2",
+                "trainable": true,
+                "dtype": "float32",
+                "tokenizer": {
+                    "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"
+                },
+                "sequence_length": 512,
+                "truncate": "round_robin"
+            },
+            "registered_name": "keras_nlp>BertPreprocessor"
+        },
+        "name": "bert_classifier_2",
+        "num_classes": 2,
+        "activation": "linear",
+        "dropout": 0.1
+    },
+    "registered_name": "keras_nlp>BertClassifier"
+}

task.weights.h5

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+size 52766840

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"
+}