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:
- 1396d5f80510a240b41a5cdba27aabdd32c54031b12d35edae0f0352e84b60d5
- Size of remote file:
- 850 kB
- SHA256:
- 1b5b289b4823024e3ea143f0a3555328d881cd81122d6571617d42b4ffd36227
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