Instructions to use KeLiu/QETRA_Java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeLiu/QETRA_Java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KeLiu/QETRA_Java") model = AutoModelForSeq2SeqLM.from_pretrained("KeLiu/QETRA_Java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fedaa38f03ace32f01d9cdc709aace85388e43cab536ff28ba68986cfaa3b5d
- Size of remote file:
- 892 MB
- SHA256:
- 9034c35ea548b8464db102caf38e97e9d5aa60c291723d350ae59a340ca46f3d
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