Instructions to use prakhar2112/sectiontextBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakhar2112/sectiontextBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prakhar2112/sectiontextBART") model = AutoModelForSeq2SeqLM.from_pretrained("prakhar2112/sectiontextBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prakhar2112/sectiontextBART: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/prakhar2112/sectiontextBART/resolve/main/training_args.bin
- Command line
-
hf download hf://prakhar2112/sectiontextBART/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prakhar2112/sectiontextBART/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- b6eff9df053bf8e046d0f1ffd80f313713122dfc5fd8ba8293a43c7164466042
- Size of remote file:
- 3.45 kB
- SHA256:
- 1d42f03d38d0e63e5a0add410e134bfd9768a4ef8fa8c2add64586fdc515b582
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