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:
- e7ac2a04e694088fadca1a762cebd37a224fe4d7539dd821edbd149cfd885c21
- Size of remote file:
- 77.7 MB
- SHA256:
- 5f887c53de76a28f2ee9c058772bcac0db939adf951469254decda47f239611c
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