Instructions to use WindyWord/translate-en-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-run 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-run")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a60602650bf7bb36b41636215d89418af18ad90fdbcee2cd9bde472f4575502
- Size of remote file:
- 819 kB
- SHA256:
- c3b36d15ebcf544ca9586cdb4bb1bfdbbdba7d25d1b20be1c00e1532e4425d6d
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