Instructions to use WindstormLabs/translate-chk-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-chk-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-chk-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-chk-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f605de594ce7b39dc7e5c05d6293ce196973c3b75071b17eb269553cf2610729
- Size of remote file:
- 76.4 MB
- SHA256:
- b6d5853ea63324260a9ac8b73228ccb77ad37fd92148ecc64971dad46f488b64
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