Instructions to use jgriffi/bart_abstract_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgriffi/bart_abstract_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jgriffi/bart_abstract_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("jgriffi/bart_abstract_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
77f3a3c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d9901c47fad989dbf8f7e64527a694a9703c0f2b6652ce2a19f0b8afb5fe240f
size 3311
|