Instructions to use Patcas/plbart-assert-nodocnew-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-assert-nodocnew-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-assert-nodocnew-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-assert-nodocnew-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/plbart-assert-nodocnew-v2: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/plbart-assert-nodocnew-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/plbart-assert-nodocnew-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/plbart-assert-nodocnew-v2/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- c031b69d1670f649245510ecb211376d1c271d25bd9428a3385e16f83657aea2
- Size of remote file:
- 4.73 kB
- SHA256:
- 25d75c272e59a9c82453a8e72585851e839ce56b3c06a03ede3f5830004cc021
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