Upload folder using huggingface_hub

README.md

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+---
+library_name: keras-hub
+---
+This is a [`Whisper` model](https://keras.io/api/keras_hub/models/whisper) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** whisper_backbone
+* **trainable:** True
+* **vocabulary_size:** 51864
+* **num_layers:** 24
+* **num_heads:** 16
+* **hidden_dim:** 1024
+* **intermediate_dim:** 4096
+* **num_mels:** 80
+* **dropout:** 0.0
+* **max_encoder_sequence_length:** 3000
+* **max_decoder_sequence_length:** 448
+
+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.

audio_converter.json

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+{
+    "module": "keras_nlp.src.models.whisper.whisper_audio_converter",
+    "class_name": "WhisperAudioConverter",
+    "config": {
+        "name": "whisper_audio_converter",
+        "trainable": true,
+        "dtype": {
+            "module": "keras",
+            "class_name": "DTypePolicy",
+            "config": {
+                "name": "float32"
+            },
+            "registered_name": null
+        },
+        "num_mels": 80,
+        "num_fft_bins": 400,
+        "stride": 160,
+        "sampling_rate": 16000,
+        "max_audio_length": 30
+    },
+    "registered_name": "keras_nlp>WhisperAudioConverter"
+}

config.json

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+{
+    "module": "keras_nlp.src.models.whisper.whisper_backbone",
+    "class_name": "WhisperBackbone",
+    "config": {
+        "name": "whisper_backbone",
+        "trainable": true,
+        "vocabulary_size": 51864,
+        "num_layers": 24,
+        "num_heads": 16,
+        "hidden_dim": 1024,
+        "intermediate_dim": 4096,
+        "num_mels": 80,
+        "dropout": 0.0,
+        "max_encoder_sequence_length": 3000,
+        "max_decoder_sequence_length": 448
+    },
+    "registered_name": "keras_nlp>WhisperBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 763856896,
+    "date_saved": "2023-12-27@02:33:17"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:381df5385b5d991d2a3c73fbaaf01b46d511705c3285404484550be98c3cfca8
+size 3057466496

tokenizer.json

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+{
+    "module": "keras_nlp.src.models.whisper.whisper_tokenizer",
+    "class_name": "WhisperTokenizer",
+    "config": {
+        "name": "whisper_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "sequence_length": null,
+        "add_prefix_space": false,
+        "special_tokens": {
+            "<|startoftranscript|>": 50257,
+            "<|endoftext|>": 50256,
+            "<|notimestamps|>": 50362,
+            "<|translate|>": 50358,
+            "<|transcribe|>": 50357
+        },
+        "language_tokens": null
+    },
+    "registered_name": "keras_nlp>WhisperTokenizer",
+    "assets": [
+        "assets/tokenizer/merges.txt",
+        "assets/tokenizer/vocabulary.json"
+    ],
+    "weights": null
+}