Instructions to use AhmedSSoliman/MarianCG-CoNaLa-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AhmedSSoliman/MarianCG-CoNaLa-Large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa-Large") model = AutoModelForSeq2SeqLM.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AhmedSSoliman/MarianCG-CoNaLa-Large: direct link, hf CLI and curl.
- Browser
- Download file 314 MB
-
https://huggingface.co/AhmedSSoliman/MarianCG-CoNaLa-Large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AhmedSSoliman/MarianCG-CoNaLa-Large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AhmedSSoliman/MarianCG-CoNaLa-Large/resolve/main/pytorch_model.bin
314 MB
- Xet hash:
- 5c01e574d849723630d58a525ee0de596c14e81a88258c081de086a252db2487
- Size of remote file:
- 314 MB
- SHA256:
- e09b198b94ae32fdaa8dd994e442baac29f0b49406706f2f3784f2be8b12a3be
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