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, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("trishtan/voxtral-sentinel-4b") model = AutoModelForSpeechSeq2Seq.from_pretrained("trishtan/voxtral-sentinel-4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b76d0cb09b34549cd198dd9c946a348f9ba27cc1da9765581fa259626aee475
- Size of remote file:
- 5.71 kB
- SHA256:
- c1b4951fcbeb59169efa164df8cea10ef700d2574b2aa3da47ab8b6d0e914d01
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