Instructions to use gaudi/opus-mt-cs-fr-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-cs-fr-ctranslate2 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="gaudi/opus-mt-cs-fr-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-cs-fr-ctranslate2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7e399885fa6d1b845a2fed5049ff036513ef13ee78a29dd3fba54849f553771
- Size of remote file:
- 149 MB
- SHA256:
- 3d79a5edf79a3fd68a794246e69c30ac5656d78113271fda8cce82c1fbcf961b
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