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:
- 2d09558236b74c20745512c406aca930bf2cdc49e8a9c13f524dd3552547cc1c
- Size of remote file:
- 1.63 GB
- SHA256:
- 741fef5d072f9b01918be8efa75899bbdf4d2aa8383c570491e801dc553fc067
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