Instructions to use entity2260/opus_en_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_de 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="entity2260/opus_en_de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df4867e69fe55a6650ddbf526c0d1e96224d77e750fd98bb7d713c8d113d9446
- Size of remote file:
- 298 MB
- SHA256:
- da068344b1b0c20e6d4a8f77f48e06646b90d679029006b18579e68977206bdd
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