Instructions to use jasonsurya0/BART_ELEVEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasonsurya0/BART_ELEVEN with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasonsurya0/BART_ELEVEN") model = AutoModelForSeq2SeqLM.from_pretrained("jasonsurya0/BART_ELEVEN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasonsurya0/BART_ELEVEN: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/jasonsurya0/BART_ELEVEN/resolve/main/training_args.bin
- Command line
-
hf download hf://jasonsurya0/BART_ELEVEN/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasonsurya0/BART_ELEVEN/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- c66dc60660ebd6fcdcca2e106f2e1d6ee4bdd75969451201b68b4a3d48364892
- Size of remote file:
- 3.77 kB
- SHA256:
- 499fb02d8f218a4bf520f6e490eec13d3b5b263bc60db0659b9312faec62b2dd
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