Instructions to use Minata/plbart-base-finetuned-ut-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minata/plbart-base-finetuned-ut-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Minata/plbart-base-finetuned-ut-generator") model = AutoModelForSeq2SeqLM.from_pretrained("Minata/plbart-base-finetuned-ut-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fb37934b85d54c112e4820bd45ba26f35a6ac4acf7e22d5bc2a4fc3a1096721
- Size of remote file:
- 3.64 kB
- SHA256:
- 921390a48c62df39b42f248212e72340a06c57f05f5b9fde1de1e3fed22262b5
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