File size: 776 Bytes
f9a112e 4596e3a f9a112e 4596e3a f9a112e c842bc9 f9a112e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
---
library_name: transformers
pipeline_tag: automatic-speech-recognition
language: en
license: mit
---
# Whisper MLX Model
This repository contains a CoreML and MLX-optimized Whisper model for efficient speech recognition on Apple devices.
## Model Components
- CoreML encoder for efficient inferencing on Apple Neural Engine
- MLX decoder for fast processing with Apple Silicon optimizations
- HuggingFace Whisper processor and model template
## Usage
```python
from asr_streaming import StreamingConfig, StreamingBackend
# Create config with HuggingFace repository
config = StreamingConfig(
use_huggingface=True,
huggingface_repo="TheStageAI/whisper-medium"
)
# Initialize the backend
backend = StreamingBackend(config)
# Now use the backend as normal
```
|