Instructions to use nianlong/citgen-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nianlong/citgen-bart-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nianlong/citgen-bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("nianlong/citgen-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nianlong/citgen-bart-base: direct link, hf CLI and curl.
- Browser
- Download file 279 MB
-
https://huggingface.co/nianlong/citgen-bart-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nianlong/citgen-bart-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nianlong/citgen-bart-base/resolve/main/pytorch_model.bin
279 MB
- Xet hash:
- 927421af349ac0ee95201786868468536e549372c8b166d25d5e3b35d6ad0596
- Size of remote file:
- 279 MB
- SHA256:
- 5c81f968b28f21f30a18098445085ce7b5343a9894d594e093ab5674869d1c1b
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