Instructions to use uclanlp/plbart-single_task-weak-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-weak-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-weak-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-weak-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3439a1586b91486744d151267d1a9ea1d37c3dcf337888a8f63de18f9e872e58
- Size of remote file:
- 557 MB
- SHA256:
- 963bc7bb2e01990b71179614618321d98113e682894d0d72c94d4e5380cf0cd8
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