Instructions to use WindstormLabs/translate-bem-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bem-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bem-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54c51fee9c9ff10c2bf9ebc8d2ebc9674ec3912db4b018a4ed9f5257b3e50a6f
- Size of remote file:
- 848 kB
- SHA256:
- 22c91b56cdb71e87b714f0351ede22eb73d0d93fae26c89258044dd3d4fc50c8
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