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:
- a64440efefea3d2ba776d5dc265cae48feef2fbaa8e6e737115b8d200c9d9dca
- Size of remote file:
- 77.5 MB
- SHA256:
- d4aeca58008e7a37eb53b02f0f4e5c683dbb0e48ba64b5982cfafa05ed248b93
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