Instructions to use WindyWord/translate-sv-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ve 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="WindyWord/translate-sv-ve")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ve", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08fd597d8349e745432c80d0e3278666b9498722fce82a1d0ea098dd44f4f0d5
- Size of remote file:
- 74.3 MB
- SHA256:
- 1fcc1545f232cf70e9894a9ea19c2645a0617eb2d66fd8d812f65107dda893d4
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