Instructions to use pabRomero/BART-Simplification-Paragraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabRomero/BART-Simplification-Paragraph with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pabRomero/BART-Simplification-Paragraph") model = AutoModelForSeq2SeqLM.from_pretrained("pabRomero/BART-Simplification-Paragraph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pabRomero/BART-Simplification-Paragraph: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/pabRomero/BART-Simplification-Paragraph/resolve/main/training_args.bin
- Command line
-
hf download hf://pabRomero/BART-Simplification-Paragraph/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pabRomero/BART-Simplification-Paragraph/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- a67460c3aa65f310b8b36dec8dcba53246f75699076da08e68c58fe00fb02b83
- Size of remote file:
- 5.5 kB
- SHA256:
- 365a8fe63317bb02117c5e85e4771e84db418b0526682c5a12388b7bc5799c3e
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