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:
- 2fb4174ec6a13e98ca86e27ec603cf44771829baa672519ef54b1e37d0c01e82
- Size of remote file:
- 557 MB
- SHA256:
- 7b996b6dc84d15b91683cee5b467321d55026ee6f6cf6578ba2d3285b5eafcf4
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