Automatic Speech Recognition
Transformers
Safetensors
English
voxtral_realtime
audio
multimodal
emotion-recognition
customer-support
emergency-services
sft
trl
hf_jobs
mistral-worldwide-hackathon-2026
Instructions to use mistral-hackaton-2026/voxtral-sentinel-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mistral-hackaton-2026/voxtral-sentinel-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mistral-hackaton-2026/voxtral-sentinel-4b")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mistral-hackaton-2026/voxtral-sentinel-4b") model = AutoModelForMultimodalLM.from_pretrained("mistral-hackaton-2026/voxtral-sentinel-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mistral-hackaton-2026/voxtral-sentinel-4b: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/mistral-hackaton-2026/voxtral-sentinel-4b/resolve/main/training_args.bin
- Command line
-
hf download hf://mistral-hackaton-2026/voxtral-sentinel-4b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mistral-hackaton-2026/voxtral-sentinel-4b/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 6b76d0cb09b34549cd198dd9c946a348f9ba27cc1da9765581fa259626aee475
- Size of remote file:
- 5.71 kB
- SHA256:
- c1b4951fcbeb59169efa164df8cea10ef700d2574b2aa3da47ab8b6d0e914d01
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