Instructions to use Jjzzzz/bart-base-article with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jjzzzz/bart-base-article with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jjzzzz/bart-base-article") model = AutoModelForSeq2SeqLM.from_pretrained("Jjzzzz/bart-base-article", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jjzzzz/bart-base-article: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Jjzzzz/bart-base-article/resolve/main/training_args.bin
- Command line
-
hf download hf://Jjzzzz/bart-base-article/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jjzzzz/bart-base-article/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 41799c3e9632174544a8023a94b8c1b219e6bbd2720796f6b4d0d674d972ec5a
- Size of remote file:
- 4.86 kB
- SHA256:
- c060105bffa6d57c6568f13ee86d1ff5bb3fbe8960143babf7e5c2e0cc517d44
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