Instructions to use AINovice2005/Voxtral-Mini-3B-2507-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AINovice2005/Voxtral-Mini-3B-2507-smashed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AINovice2005/Voxtral-Mini-3B-2507-smashed", device_map="auto") - Pruna AI
How to use AINovice2005/Voxtral-Mini-3B-2507-smashed with Pruna AI:
from pruna import PrunaModel # Load model directly model = PrunaModel.from_pretrained("AINovice2005/Voxtral-Mini-3B-2507-smashed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 557c4caefd88f8a7a214316a11f5e85e06c28988870e3da1594db01f1bed4c5f
- Size of remote file:
- 9.36 GB
- SHA256:
- 882e7082765eb7bc717e81d8cb4752e5a77b01fabf098108a92a0eed786e75de
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