Instructions to use michaelfeil/ct2fast-opus-mt-fr-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-opus-mt-fr-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="michaelfeil/ct2fast-opus-mt-fr-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-opus-mt-fr-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d091b1e884c4897d082d447cdde0e81ac45420fe820de9b8f251dcf2bf35bd90
- Size of remote file:
- 152 MB
- SHA256:
- e6f0a51c725c93f7ba3bb3c2ca302efe38c28b972a2c095d5dc579748ba500d4
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