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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 999280676ebbb9b20cd15b156802abc60f7a22a26d47b5a5400eae9bd28c1766
- Size of remote file:
- 557 MB
- SHA256:
- e707561a166fc02da3922a28b44e50b1af1d6ebad04283646c159ed0b89d95a7
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