Instructions to use Aktsvigun/bart-base_scisummnet_5537116 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_scisummnet_5537116 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_scisummnet_5537116") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_scisummnet_5537116") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 226e716e16f92b1af4d1046696450c0be10ff4288cb347e2a7a653e18d774469
- Size of remote file:
- 558 MB
- SHA256:
- 490a984d4d12ed2ade47da3c3b2cd44a97236f8682b3f7865feb29e92dfed348
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