Automatic Speech Recognition
PEFT
Safetensors
English
voxtral
lora
speech-recognition
expressive-transcription
audio
mistral
hackathon
rl
raft
Instructions to use mistral-hackaton-2026/evoxtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mistral-hackaton-2026/evoxtral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Voxtral-Mini-3B-2507") model = PeftModel.from_pretrained(base_model, "mistral-hackaton-2026/evoxtral") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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 | |
| } | |