Instructions to use Aktsvigun/bart-base_scisummnet_2930982 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-base_scisummnet_2930982 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-base_scisummnet_2930982") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-base_scisummnet_2930982", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5acbe36d59b09964a5f19fae7307a579ac21c55c01ce2d66e7d26ae15d2ac1e4
- Size of remote file:
- 558 MB
- SHA256:
- eb6080a4b91eb2753830980b12e4b1ede5c5491b7e4cff9a59cf527ad67b4649
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