Automatic Speech Recognition
MLX
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
apple-silicon
quant
custom_code
Instructions to use rasgaard/hviske-v5.3-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rasgaard/hviske-v5.3-mlx-int8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hviske-v5.3-mlx-int8 rasgaard/hviske-v5.3-mlx-int8
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 420 Bytes
b2f6ce0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"auto_map": {
"AutoFeatureExtractor": "processing_cohere_asr.CohereAsrFeatureExtractor"
},
"dither": 1e-05,
"feature_extractor_type": "CohereAsrFeatureExtractor",
"feature_size": 128,
"frame_splicing": 1,
"log": true,
"n_fft": 512,
"n_window_size": 400,
"n_window_stride": 160,
"normalize": "per_feature",
"pad_to": 0,
"padding_value": 0.0,
"sampling_rate": 16000,
"window": "hann"
}
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