Instructions to use WindyWord/translate-tn-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tn-es 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="WindyWord/translate-tn-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tn-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18773fc38d8205da4e07b27e5bef7d02ab7e962273334ec8f155b8d80d83b4fd
- Size of remote file:
- 77.1 MB
- SHA256:
- 3c3e528a8bfd06ac38fd6d84aa803c4680a5a24a262179dcefbdf17c9950a0ee
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