Instructions to use miniproject18/bart-multi-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miniproject18/bart-multi-news with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("miniproject18/bart-multi-news") model = AutoModelForSeq2SeqLM.from_pretrained("miniproject18/bart-multi-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from miniproject18/bart-multi-news: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/miniproject18/bart-multi-news/resolve/main/training_args.bin
- Command line
-
hf download hf://miniproject18/bart-multi-news/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/miniproject18/bart-multi-news/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 07c505f81a9413a97c2a0fd42f484897a619bc35614ba702ecb6d98a39eab5a4
- Size of remote file:
- 4.03 kB
- SHA256:
- 4223f736bfddfa75dd0411d279582e97149e4ff620c7a278c434c9e810cb9cca
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