Automatic Speech Recognition
Transformers
Safetensors
English
voxtral_realtime
audio
multimodal
emotion-recognition
customer-support
emergency-services
sft
trl
hf_jobs
Instructions to use trishtan/voxtral-sentinel-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trishtan/voxtral-sentinel-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="trishtan/voxtral-sentinel-4b")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("trishtan/voxtral-sentinel-4b") model = AutoModelForMultimodalLM.from_pretrained("trishtan/voxtral-sentinel-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#1
by MihaiPopa-1 - opened
No description provided.
Thank you for your contribution. The model README.md is auto generated by trl and will be updated with the correct information in the near future once it is fine tuned completely.
PRs are not being accepted at this time as it is a submission for a hackathon.
trishtan changed pull request status to closed
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