Instructions to use uclanlp/plbart-single_task-static-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-static-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-static-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-static-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0acbd51279f25db47901d3f388dd03c707457f7b6d7219cf0132509927902b77
- Size of remote file:
- 557 MB
- SHA256:
- f55af17b318aeb75c5fac1e5e4bd2dd0930658b5512cec3e2862c4baa65dc3f9
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