Upload folder using huggingface_hub

README.md

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+---
+library_name: keras-hub
+---
+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.
+Model config:
+* **name:** t5_backbone
+* **trainable:** True
+* **vocabulary_size:** 32128
+* **hidden_dim:** 512
+* **intermediate_dim:** 2048
+* **num_layers:** 6
+* **num_heads:** 8
+* **activation:** relu
+* **key_value_dim:** 64
+* **dropout:** 0.1
+* **use_gated_activation:** False
+* **layer_norm_epsilon:** 1e-06
+* **tie_embedding_weights:** True
+
+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.t5.t5_backbone",
+    "class_name": "T5Backbone",
+    "config": {
+        "name": "t5_backbone",
+        "trainable": true,
+        "vocabulary_size": 32128,
+        "hidden_dim": 512,
+        "intermediate_dim": 2048,
+        "num_layers": 6,
+        "num_heads": 8,
+        "activation": "relu",
+        "key_value_dim": 64,
+        "dropout": 0.1,
+        "use_gated_activation": false,
+        "layer_norm_epsilon": 1e-06,
+        "tie_embedding_weights": true
+    },
+    "registered_name": "keras_nlp>T5Backbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 60506624,
+    "date_saved": "2023-12-27@02:27:35"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3f52e67b3be93ff76e8bbb18d783bc0bb371831fde083739f1e0d25e508f7268
+size 242488816

tokenizer.json

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+{
+    "module": "keras_nlp.src.models.t5.t5_tokenizer",
+    "class_name": "T5Tokenizer",
+    "config": {
+        "name": "t5_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "proto": null,
+        "sequence_length": null
+    },
+    "registered_name": "keras_nlp>T5Tokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.spm"
+    ],
+    "weights": null
+}