Instructions to use Chillyblast/Bart_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chillyblast/Bart_Summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chillyblast/Bart_Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Chillyblast/Bart_Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Chillyblast/Bart_Summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Chillyblast/Bart_Summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://Chillyblast/Bart_Summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Chillyblast/Bart_Summarization/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- a53f6692437e7506ec17403d4210f7782b54379c2cc8fc072480a39da48a35ef
- Size of remote file:
- 5.24 kB
- SHA256:
- 9dccedebda28ab9a42715a6ceb60e772d70249744ed6ff7220e94f7227f8de69
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