Instructions to use uclanlp/plbart-single_task-strong-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-strong-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-strong-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-strong-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 267d0daec5c5c02a2ebd7afd9c3fda723cd2f2176feb258b850c5a6229bcde69
- Size of remote file:
- 557 MB
- SHA256:
- 67dc087923d1ed9c03460198aa6bd35e5e5b093abe5b58c20e985510763e240c
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