Instructions to use TRnlp/bart-base-Abstract-Title-CSPubSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TRnlp/bart-base-Abstract-Title-CSPubSum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TRnlp/bart-base-Abstract-Title-CSPubSum") model = AutoModelForSeq2SeqLM.from_pretrained("TRnlp/bart-base-Abstract-Title-CSPubSum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TRnlp/bart-base-Abstract-Title-CSPubSum: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/TRnlp/bart-base-Abstract-Title-CSPubSum/resolve/main/training_args.bin
- Command line
-
hf download hf://TRnlp/bart-base-Abstract-Title-CSPubSum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TRnlp/bart-base-Abstract-Title-CSPubSum/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 673edfd7365ff14ed55edbcecbd83be1965109cd12ae61e4865e2f9f98dfbaa4
- Size of remote file:
- 5.3 kB
- SHA256:
- 8eaf8ee647ca44466b264d0df7130215d58b527535b56748f919c1f23c2eb67c
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