Instructions to use jasonsurya0/BART_FOUR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_FOUR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_FOUR") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_FOUR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasonsurya0/BART_FOUR: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/jasonsurya0/BART_FOUR/resolve/main/training_args.bin
- Command line
-
hf download hf://jasonsurya0/BART_FOUR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasonsurya0/BART_FOUR/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- c0bf444a5341d30ec354e9f320d330d17794d61f003155f97b5e83c171c94474
- Size of remote file:
- 3.77 kB
- SHA256:
- 50f0beb1e496f2752bf84da1a0f60e36a0690b97fa9d2ebb2c175ed059516216
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