Automatic Speech Recognition
Transformers
Safetensors
voxtral_realtime
pruna
awq
vllm
mistral-common
Instructions to use pavanperi/voxtral-optimized-atos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavanperi/voxtral-optimized-atos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pavanperi/voxtral-optimized-atos")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pavanperi/voxtral-optimized-atos") model = AutoModelForSpeechSeq2Seq.from_pretrained("pavanperi/voxtral-optimized-atos") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 11, | |
| "transformers_version": "5.7.0", | |
| "use_cache": true | |
| } | |