Instructions to use gaudi/opus-mt-de-ar-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-de-ar-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-de-ar-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-de-ar-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from gaudi/opus-mt-de-ar-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 154 MB
-
https://huggingface.co/gaudi/opus-mt-de-ar-ctranslate2/resolve/main/model.bin
- Command line
-
hf download hf://gaudi/opus-mt-de-ar-ctranslate2/model.bin
-
curl -L -o model.bin https://huggingface.co/gaudi/opus-mt-de-ar-ctranslate2/resolve/main/model.bin
154 MB
- Xet hash:
- edbc38b2f24134ea9b447a4dc73bff6f2e27f9e65c24289d23b88fe111e0e37a
- Size of remote file:
- 154 MB
- SHA256:
- 3ef152c76851b6003b7893993b1637bf628a37fac2e18cf561d7b1c59cee0872
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.