Instructions to use gaudi/opus-mt-fr-ilo-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-fr-ilo-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-fr-ilo-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-fr-ilo-ctranslate2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2e85b438bb407ceca054471a479f60de2f292e7df7ded03124939a1688a5cc4
- Size of remote file:
- 150 MB
- SHA256:
- 34e7e8d29f5b3df911437acd7371f11daedd7efd0e507fa0ff45f45a437447e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.