Upload folder using huggingface_hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/tokenizer/vocabulary.spm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: keras-hub
+---
+This is a [`DebertaV3` model](https://keras.io/api/keras_hub/models/deberta_v3) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** deberta_v3_backbone
+* **trainable:** True
+* **vocabulary_size:** 128100
+* **num_layers:** 24
+* **num_heads:** 16
+* **hidden_dim:** 1024
+* **intermediate_dim:** 4096
+* **dropout:** 0.1
+* **max_sequence_length:** 512
+* **bucket_size:** 256
+
+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

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+oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
+size 2464616

config.json

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+{
+    "module": "keras_nlp.src.models.deberta_v3.deberta_v3_backbone",
+    "class_name": "DebertaV3Backbone",
+    "config": {
+        "name": "deberta_v3_backbone",
+        "trainable": true,
+        "vocabulary_size": 128100,
+        "num_layers": 24,
+        "num_heads": 16,
+        "hidden_dim": 1024,
+        "intermediate_dim": 4096,
+        "dropout": 0.1,
+        "max_sequence_length": 512,
+        "bucket_size": 256
+    },
+    "registered_name": "keras_nlp>DebertaV3Backbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

@@ -0,0 +1,6 @@
+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 434012160,
+    "date_saved": "2023-12-27@02:06:31"
+}

model.weights.h5

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+oid sha256:f01f6f37c24ea0df08663e1d580d80c78eace4d3698f5738116ccb63f2893043
+size 1736874600

tokenizer.json

@@ -0,0 +1,16 @@
+{
+    "module": "keras_nlp.src.models.deberta_v3.deberta_v3_tokenizer",
+    "class_name": "DebertaV3Tokenizer",
+    "config": {
+        "name": "deberta_v3_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "proto": null,
+        "sequence_length": null
+    },
+    "registered_name": "keras_nlp>DebertaV3Tokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.spm"
+    ],
+    "weights": null
+}