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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-fr-ilo-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from gaudi/opus-mt-fr-ilo-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 150 MB
-
https://huggingface.co/gaudi/opus-mt-fr-ilo-ctranslate2/resolve/main/model.bin
- Command line
-
hf download hf://gaudi/opus-mt-fr-ilo-ctranslate2/model.bin
-
curl -L -o model.bin https://huggingface.co/gaudi/opus-mt-fr-ilo-ctranslate2/resolve/main/model.bin
150 MB
- 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.