Instructions to use xummer/adversarial_qa_dbert_generate_question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xummer/adversarial_qa_dbert_generate_question with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xummer/adversarial_qa_dbert_generate_question") model = AutoModelForSeq2SeqLM.from_pretrained("xummer/adversarial_qa_dbert_generate_question") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5523ebeebd1332e4f599ffe61302e00fd91e49e5630be10f48b879c0a03abb85
- Size of remote file:
- 5.43 kB
- SHA256:
- 00c53321ad32e4218b8334b2e3de92973996fcaf1be8eb840b8d757046de6f78
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