Instructions to use WindstormLabs/translate-et-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-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-et-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 092e5fbd33e8e4b5cadec12ac8b0bbcf2ef65066eb988c585a878885262e6ea9
- Size of remote file:
- 76 MB
- SHA256:
- 6505cccf70ceebe8e124b8e6c90d5a153b446a5031f4cf01fd134a21f05636b2
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