Instructions to use WindyWord/translate-en-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-it 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-en-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7af4a60d00dc1c8bcb95e83ab7750d3fc7fc8d77974c450b421ab6d53a1d5d05
- Size of remote file:
- 789 kB
- SHA256:
- 2efff2c37e51842c2817a6770280979b5dd803cebbe2928e576d42a888f89537
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