Instructions to use jasonsurya0/BART_SEVEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_SEVEN with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_SEVEN") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_SEVEN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasonsurya0/BART_SEVEN: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/jasonsurya0/BART_SEVEN/resolve/main/training_args.bin
- Command line
-
hf download hf://jasonsurya0/BART_SEVEN/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasonsurya0/BART_SEVEN/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 8e31d2451283ef8c7ddf0a4825107e4fe41f72ddb7d009dbdca2fb681985281a
- Size of remote file:
- 3.77 kB
- SHA256:
- 96c5add9b67813251646f1e209c3e6a3dd2ce1e430184b5ec7a3622c542bdf58
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