Instructions to use Mels22/longt5-scisummnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mels22/longt5-scisummnet with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-base") model = PeftModel.from_pretrained(base_model, "Mels22/longt5-scisummnet") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mels22/longt5-scisummnet: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Mels22/longt5-scisummnet/resolve/main/training_args.bin
- Command line
-
hf download hf://Mels22/longt5-scisummnet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mels22/longt5-scisummnet/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 7b27475f506d40b356cecabb0f629a2606cc7e7cc6062ed34006be406b358f43
- Size of remote file:
- 5.5 kB
- SHA256:
- 24f1f5b6a9a328d9b4e516ebc38bb7424714a0b68c1ff100fb93b4ba8aa37ee5
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