Instructions to use uclanlp/plbart-single_task-en_java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-en_java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-en_java") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-en_java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f95b8c65d7d899dc12e94005e5cd193c22e6650296f695c61ec60ffd47e77361
- Size of remote file:
- 557 MB
- SHA256:
- 54041aef8bd59f38f2cb0cf0bcba0449ce6d5d9a01da66bdda627c1df92abfc3
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