Instructions to use WindstormLabs/translate-en-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-ilo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ilo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab4f4479bab4609129209e93718cb67b35e64d25930ab518e642a33e745197b3
- Size of remote file:
- 850 kB
- SHA256:
- a4bd04e877fe8d17419882e3581f00df8ebf295d179bde47a9a6338b3d27a4bb
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