Instructions to use Patcas/work-with-plbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/work-with-plbart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/work-with-plbart") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/work-with-plbart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/work-with-plbart: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/work-with-plbart/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/work-with-plbart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/work-with-plbart/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 1fd78e3c596db90c1c775b59938af046863b0c2a95f96bbceab1d26b06eff10d
- Size of remote file:
- 4.73 kB
- SHA256:
- 0a368c76e6a87416fd011f24ff54f5dccd8e137ed0e1788aa7516cbcc858aecc
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