Instructions to use gaudi/opus-mt-ar-pl-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-ar-pl-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-ar-pl-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-ar-pl-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from gaudi/opus-mt-ar-pl-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 897 kB
-
https://huggingface.co/gaudi/opus-mt-ar-pl-ctranslate2/resolve/main/source.spm
- Command line
-
hf download hf://gaudi/opus-mt-ar-pl-ctranslate2/source.spm
-
curl -L -o source.spm https://huggingface.co/gaudi/opus-mt-ar-pl-ctranslate2/resolve/main/source.spm
897 kB
- Xet hash:
- 57c297c1925d93cc33a124874f6b612f1ff131dd88f1159b57be5802799265ff
- Size of remote file:
- 897 kB
- SHA256:
- 291932946d2570cdef317a83398481aa71658376d1ea7e9f3359fddb74d286d0
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