Instructions to use nvti/voxtral-vi-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nvti/voxtral-vi-lora with PEFT:
Task type is invalid.
- Transformers
How to use nvti/voxtral-vi-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvti/voxtral-vi-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from nvti/voxtral-vi-lora: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/nvti/voxtral-vi-lora/resolve/main/processor_config.json
- Command line
-
hf download hf://nvti/voxtral-vi-lora/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/nvti/voxtral-vi-lora/resolve/main/processor_config.json
384 Bytes
| { | |
| "feature_extractor": { | |
| "feature_extractor_type": "VoxtralRealtimeFeatureExtractor", | |
| "feature_size": 128, | |
| "global_log_mel_max": 1.5, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_length": 400 | |
| }, | |
| "processor_class": "VoxtralRealtimeProcessor" | |
| } | |