Instructions to use WindstormLabs/translate-es-tn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-tn 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-tn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-tn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91b0bccfddccfc99ff699c11f60cbd180428e722333b7dcc029ef666c818700e
- Size of remote file:
- 77.1 MB
- SHA256:
- 558cc6a063c45c545003bdad79e526d1ee37d39009fb17667b0d76ab782cce47
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