Instructions to use WindstormLabs/translate-ilo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ilo-sv 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-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ilo-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ff90618ef335af149fcf2d3e6267a45edf47b24151c57fb79d64e745bddfae5
- Size of remote file:
- 850 kB
- SHA256:
- 2a3551afba6c24c3f09bf5a63d9c89f15e5237da33f4e3a4f7ab8e47cceb3193
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