Instructions to use Patcas/plbart-docssnew-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-docssnew-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-docssnew-v2") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-docssnew-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/plbart-docssnew-v2: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/plbart-docssnew-v2/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/plbart-docssnew-v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/plbart-docssnew-v2/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 973c9a0efae8522a85017109c6b8d0f3bc4eb7fe8306f00f6022d0b8c2268f32
- Size of remote file:
- 4.73 kB
- SHA256:
- 784640fa4a601eedb0f8172ec42aa1b3bf4ab9f22cfca3f1910e511d05c10fbb
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