Instructions to use uclanlp/plbart-single_task-dynamic-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-dynamic-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-dynamic-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-dynamic-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 257e80764809bc54527a7be54ff4929ef75d62749f9fdb0713530a94d0d81159
- Size of remote file:
- 557 MB
- SHA256:
- cc1fe07fd5fb1d30b25ccd5cb44010e123de6239b8dcdc96bd973a0f8b65fbea
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