Automatic Speech Recognition
PEFT
Safetensors
English
voxtral
lora
speech-recognition
expressive-transcription
audio
mistral
hackathon
rl
raft
Instructions to use YongkangZOU/evoxtral-rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YongkangZOU/evoxtral-rl 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, "YongkangZOU/evoxtral-rl") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from YongkangZOU/evoxtral-rl: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/YongkangZOU/evoxtral-rl/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://YongkangZOU/evoxtral-rl/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/YongkangZOU/evoxtral-rl/resolve/main/preprocessor_config.json
357 Bytes
| { | |
| "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 | |
| } | |