Instructions to use Patcas/plbart-assert-nodocs-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-assert-nodocs-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-assert-nodocs-v3") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-assert-nodocs-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/plbart-assert-nodocs-v3: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/plbart-assert-nodocs-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/plbart-assert-nodocs-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/plbart-assert-nodocs-v3/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 4c20d83c85f90b0b76ebcdb97f45489417034c69f05ecfb2eaa7998832d30c75
- Size of remote file:
- 4.73 kB
- SHA256:
- b9fb931604e5804312ba1b7dad175ef72badf67a5fc5f1075a2ac8fac43c275b
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