Instructions to use CodeIsAbstract/denoice-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/denoice-finetuned-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CodeIsAbstract/denoice-finetuned-xsum: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/CodeIsAbstract/denoice-finetuned-xsum/resolve/main/training_args.bin
- Command line
-
hf download hf://CodeIsAbstract/denoice-finetuned-xsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodeIsAbstract/denoice-finetuned-xsum/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- f020de86b35e6d535be61e8a47abc84f819b2de60883bc108b5cf849a7493a04
- Size of remote file:
- 4.41 kB
- SHA256:
- 0f6ad87496e3beba19efcadc12986e3bfee8c95ff15cacb125cbdd103a1abdb2
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