Instructions to use WindstormLabs/translate-es-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-en 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-es-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95581062e8f0c5d716ac16ab2d3e2f3c43526476c82e31512346fae12b5d8f01
- Size of remote file:
- 79.6 MB
- SHA256:
- b051996f40394dece114d146bc867c49ee264395eb9a4bee3a60f9f1140ee87b
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