Upload Whisper Core ML conversion

AudioEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

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AudioEncoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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AudioEncoder.mlpackage/Manifest.json

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TextDecoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

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TextDecoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

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TextDecoder.mlpackage/Manifest.json

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+            "path": "com.apple.CoreML/model.mlmodel"
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config.json

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+{
+  "model": "tiny.en",
+  "is_multilingual": false,
+  "dims": {
+    "n_mels": 80,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 384,
+    "n_audio_head": 6,
+    "n_audio_layer": 4,
+    "n_vocab": 51864,
+    "n_text_ctx": 448,
+    "n_text_state": 384,
+    "n_text_head": 6,
+    "n_text_layer": 4
+  },
+  "audio": {
+    "sample_rate": 16000,
+    "n_fft": 400,
+    "hop_length": 160,
+    "n_frames": 3000,
+    "chunk_seconds": 30
+  }
+}

mel_filters.npy

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