Instructions to use uclanlp/plbart-csnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-csnet with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-csnet") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-csnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95710dfe8e060342f7f974515a4d1aef762210944fcac4858f785cb4583646d5
- Size of remote file:
- 557 MB
- SHA256:
- 025e768f44bc914458e672397e30335c0c0c93b4eeef5cc9b20bfdcad5557144
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