Instructions to use WindstormLabs/translate-ilo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-ilo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ilo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 510aad1c2919a92c04e99143da5c0c6ceb3d5472f839391c4e04b838175cfb11
- Size of remote file:
- 76.7 MB
- SHA256:
- 315650646c90b093077f1694521ff2dc3eca0c80a579a6e33858077f55cdf4b1
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