Instructions to use uclanlp/plbart-single_task-compiled-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-compiled-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-compiled-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-compiled-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0471606693903098f730c99368915079d7866a36e58924ea6c452455f7a6fcc
- Size of remote file:
- 557 MB
- SHA256:
- 14453d860b78a81462a556d40dd62f16e2f3210ca66b9cb5f21ffbfb63453219
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