Instructions to use WindyWord/translate-es-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-tll 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-es-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34fa7f225fb4224bed6188318800eebf2338faf1212817098dc92bc668736be2
- Size of remote file:
- 77.7 MB
- SHA256:
- 7bcda8e39f074e4423890104986c02aa48287e4e9bcf3d00dd9557b9f67b2835
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