Instructions to use WindyWord/translate-ilo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ilo-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="WindyWord/translate-ilo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ilo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49207ba5b2fb9f71b5165fde06b22a8bb9f03bd6f715ececaa9d8781a2714b41
- Size of remote file:
- 850 kB
- SHA256:
- 9d455e2f29139428e3f86199369b0e58a9a449c3d259f1ef221b7e3e3b5c55ba
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