Instructions to use jasonsurya0/BART_THREE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_THREE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_THREE") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_THREE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasonsurya0/BART_THREE: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/jasonsurya0/BART_THREE/resolve/main/training_args.bin
- Command line
-
hf download hf://jasonsurya0/BART_THREE/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasonsurya0/BART_THREE/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 34c89bd2642bc5adfee5a7a7d0cdfd40e95934cc805876727a47dd8b4610aead
- Size of remote file:
- 3.77 kB
- SHA256:
- 1a183c2f848e7d8125b901f67894cfadd5193c4d1082ce0a5e5c4abc7e616bdf
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