Instructions to use BienKieu/PLBART_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/PLBART_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/PLBART_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/PLBART_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/PLBART_new: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/PLBART_new/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/PLBART_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/PLBART_new/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 50ad5a736721cebd0c73406846ac28d7ef09017f18abae64c72939b697749af0
- Size of remote file:
- 5.91 kB
- SHA256:
- 7279560f84935bd77b8934f844b0475da33690629f7aaf9436950d470fffa2b4
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