Instructions to use LiquidAI/LFM3-Audio-2B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiquidAI/LFM3-Audio-2B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download LiquidAI/LFM3-Audio-2B-MLX-4bit --local-dir LFM3-Audio-2B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 773 Bytes
f73a8a6 | 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 | {
"audio_out_token": "<|audio_out|>",
"audio_token": "<|audio|>",
"feature_extractor": {
"encoder_stride": 8,
"feature_extractor_type": "Lfm3AudioFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"log_floor": -12.0,
"n_fft": 400,
"normalization_divisor": 4.0,
"normalization_offset": 4.0,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000,
"win_length": 400,
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_lfm3_audio.Lfm3AudioFeatureExtractor"
}
},
"processor_class": "Lfm3AudioProcessor",
"auto_map": {
"AutoProcessor": "processing_lfm3_audio.Lfm3AudioProcessor"
},
"audio_tokenizer_subfolder": "audio_tokenizer"
}
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