Instructions to use WindstormLabs/translate-es-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ty 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-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b8ac2bdaf71d0407ec9dd596b9218fff1fac8647b4260435693c51c51a585e
- Size of remote file:
- 767 kB
- SHA256:
- 4a39894e308579db255f3226618c3f757e398b0dea88256760d36222f2197031
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