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README.md

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+---
+library_name: mlx
+---
+
+# whisper-medium.en-mlx-fp32
+This model was converted to MLX format from [`medium.en`]().
+
+## Use with mlx
+```bash
+git clone https://github.com/ml-explore/mlx-examples.git
+cd mlx-examples/whisper/
+pip install -r requirements.txt
+
+>> import whisper
+>> whisper.transcribe("FILE_NAME")
+```

config.json

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+{
+    "n_mels": 80,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 1024,
+    "n_audio_head": 16,
+    "n_audio_layer": 24,
+    "n_vocab": 51864,
+    "n_text_ctx": 448,
+    "n_text_state": 1024,
+    "n_text_head": 16,
+    "n_text_layer": 24,
+    "model_type": "whisper"
+}

weights.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7f0df163461ce4b74bd9970e7a8bf7e75f8615de65d31ac0fc22b0cd34db4d29
+size 3049568764