Instructions to use MarkusKaemmerer/Voxtral-Mini-3B-2507-8bit-dense-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MarkusKaemmerer/Voxtral-Mini-3B-2507-8bit-dense-encoder with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Voxtral-Mini-3B-2507-8bit-dense-encoder MarkusKaemmerer/Voxtral-Mini-3B-2507-8bit-dense-encoder
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 357 Bytes
54d1bd6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "VoxtralProcessor",
"return_attention_mask": false,
"sampling_rate": 16000
}
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