Instructions to use WindstormLabs/translate-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e8e53f23236b7716c2466320fbcb0daa226429075d65ab4ce99afd6bf2546a
- Size of remote file:
- 79.6 MB
- SHA256:
- 5fb6334879e22d11ce2f5be757b1e06c85050d6831850b0f7d061a307e51963c
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