Instructions to use gianclbal/attainment_bart_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianclbal/attainment_bart_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gianclbal/attainment_bart_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("gianclbal/attainment_bart_summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9de2f0142f181dbecb8c1720cd41061cb9df66728a5e44d9f2543fddaf4bbcc0
- Size of remote file:
- 4.22 kB
- SHA256:
- d7eec33097b5edc5328d96db91e3201b20fcb0b5e1bb846b7439b584421933f4
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