Instructions to use WindstormLabs/translate-es-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ilo 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-ilo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ilo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 332ea70e584104210c5abdf75f071157d46e971b1518fb2a83b59c89cc16ad3d
- Size of remote file:
- 76.7 MB
- SHA256:
- 506682139f9acc2ad167ad0c647dbe9ab78c934bf9bd294c816290b23190d8e4
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