Instructions to use Aktsvigun/bart-base_scisummnet_9463133 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_scisummnet_9463133 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_scisummnet_9463133") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_scisummnet_9463133") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8c77ecd29167186f41d0ec42d548737b284ee3a09be16baffd17b281edd6219
- Size of remote file:
- 558 MB
- SHA256:
- 0267358cb898d06c6c986203666bab632f42725ba5ed52de4e0621459fc17dfa
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