Instructions to use Patcas/plbart-worksDocWorks-step-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-worksDocWorks-step-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-worksDocWorks-step-1") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-worksDocWorks-step-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/plbart-worksDocWorks-step-1: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/plbart-worksDocWorks-step-1/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/plbart-worksDocWorks-step-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/plbart-worksDocWorks-step-1/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 80e43339781be75a9a6b568324eb57a6e809d8a7105e8d1309e198a5194a045b
- Size of remote file:
- 4.73 kB
- SHA256:
- ac2381041906aec58a43fb05be5a7ed28382876c2f469152d2b1fcdf869605d4
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