Instructions to use WindstormLabs/translate-es-yua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-yua 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-yua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-yua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae9b903a828634bb4fdbd427ace20de4b391a452717f58ca46c2b599baa93641
- Size of remote file:
- 842 kB
- SHA256:
- 38cd1bbea73528f02be524e4801c5a985a993e8ee234867bcb0ac1fa15a6add9
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