Instructions to use SigmarAI/Marian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SigmarAI/Marian with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SigmarAI/Marian") model = AutoModelForSeq2SeqLM.from_pretrained("SigmarAI/Marian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SigmarAI/Marian: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/SigmarAI/Marian/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SigmarAI/Marian/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SigmarAI/Marian/resolve/main/pytorch_model.bin
304 MB
- Xet hash:
- 757cba757355260b37f6af0352d1dccc3b4560de962514835f8f3af17c331a60
- Size of remote file:
- 304 MB
- SHA256:
- 7ab91e8f4aee861007d4649f45bab16fc8001bb64e612ed9d0ccbd047da829c3
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