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 training_args.bin from SigmarAI/Marian: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/SigmarAI/Marian/resolve/main/training_args.bin
- Command line
-
hf download hf://SigmarAI/Marian/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SigmarAI/Marian/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 22616badfe5164e26c9796aa082f64d9b9b1a11cddbe64961e1c2a257ad021c6
- Size of remote file:
- 3.52 kB
- SHA256:
- e9765a5952b19646bb16108a8cc1306123170fdf771fd9a853cad2d9b1dbfd9e
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