Instructions to use Benjaminpwh/sst-en_it_2_sm4t_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_it_2_sm4t_medium with Transformers:
# Load model directly from transformers import AutoProcessor, DynamicSeamlessM4T processor = AutoProcessor.from_pretrained("Benjaminpwh/sst-en_it_2_sm4t_medium") model = DynamicSeamlessM4T.from_pretrained("Benjaminpwh/sst-en_it_2_sm4t_medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f82eaba9b3a52a2629ad27e347045a24d595e8b4136614c54aa9b787d64ff5fb
- Size of remote file:
- 8.08 GB
- SHA256:
- 8610602e51f9615d8d6d1f73b4fd0c36262267d0dee80805607e219e133c9d4e
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