Instructions to use WindstormLabs/translate-yo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-yo-sv with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-yo-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-yo-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a13de5faf53225c2ae8fb32479faf59bf8af4e05c24cae745daab217159ac08b
- Size of remote file:
- 854 kB
- SHA256:
- afe9861bba15074c63bd2f82cd2ffef362e9040cf7a2347e0575c7892f2a4a8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.