Instructions to use Aviv/Moran_Aviv_Bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aviv/Moran_Aviv_Bart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aviv/Moran_Aviv_Bart") model = AutoModelForSeq2SeqLM.from_pretrained("Aviv/Moran_Aviv_Bart") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Moran and Aviv project for solving Summarization task. We choose 2 architectures: TextRank and BART (facebook). In Streamlit' application, you can enter your article as an input, and the output is a summary. Inspired by HIT studies.
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