Instructions to use WindstormLabs/translate-bem-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bem-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-bem-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bem-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06a201f5700ff1012c6da1837c31fae2847799d315b9b28e88a2651bc180ed1e
- Size of remote file:
- 831 kB
- SHA256:
- da572ae57a094f23a7435702309e0958a33f2a2f872bb2988b867b4e4a1045c2
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