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:
- fc2c1b3c73f41d83a22c770c73c5a313b861a1b99311f0b15be8aed200a8635d
- Size of remote file:
- 76.7 MB
- SHA256:
- bc97068cd0a4b6893ad4a820b45e9a18080af5b470b3234f555f1796b565665e
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