Instructions to use WindyWord/translate-tll-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-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-tll-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 914f96df991a0261127648af515453dfec404758391e2ec8c4d553829165d8d4
- Size of remote file:
- 77.7 MB
- SHA256:
- a05d40526180370a2a8a5a2a910e928f48f6bbb9b0803f569d86d5b56489bb23
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