Instructions to use BienKieu/bart_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BienKieu/bart_new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BienKieu/bart_new") model = AutoModelForSeq2SeqLM.from_pretrained("BienKieu/bart_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BienKieu/bart_new: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/BienKieu/bart_new/resolve/main/training_args.bin
- Command line
-
hf download hf://BienKieu/bart_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BienKieu/bart_new/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 47137d00ea848f487bb752af306e8b56b628399db7b17b4d7816cf73c39abaa9
- Size of remote file:
- 5.91 kB
- SHA256:
- 8fa3c3954c8c7b5f58237e7bacda64b84b7fa26722a495c026783e66c7333c76
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