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README.md

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+---
+library_name: mlx-audio-plus
+license: apache-2.0
+base_model:
+- openai/whisper-tiny
+tags:
+- mlx
+- whisper
+- speech-recognition
+- speech-to-text
+- stt
+pipeline_tag: automatic-speech-recognition
+---
+
+# mlx-community/whisper-tiny-fp16
+
+This model was converted to MLX format from [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.3**.
+
+## Use with mlx-audio-plus
+
+```bash
+pip install -U mlx-audio-plus
+```
+
+### Command line
+
+```bash
+mlx_audio.stt --model mlx-community/whisper-tiny-fp16 --audio audio.mp3
+```
+
+### Python
+
+```python
+from mlx_audio.stt import transcribe
+
+result = transcribe(
+    audio="audio.mp3",
+    model="mlx-community/whisper-tiny-fp16",
+)
+print(result["text"])
+```

config.json

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+{
+    "n_mels": 80,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 384,
+    "n_audio_head": 6,
+    "n_audio_layer": 4,
+    "n_vocab": 51865,
+    "n_text_ctx": 448,
+    "n_text_state": 384,
+    "n_text_head": 6,
+    "n_text_layer": 4,
+    "model_type": "whisper"
+}

model.safetensors

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+size 74386223