Instructions to use WindyWord/translate-xh-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-xh-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-xh-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-xh-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 680682626f86507d2b964e26817757aec2b2f0ec4e3ace363b19279f6f699171
- Size of remote file:
- 845 kB
- SHA256:
- 82c6379e152d4720e39629f5a91e8048f2898a6cdb79027e0c3933d43deb4e84
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