Instructions to use xummer/adversarial_qa_dbert_based_on with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xummer/adversarial_qa_dbert_based_on with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xummer/adversarial_qa_dbert_based_on") model = AutoModelForSeq2SeqLM.from_pretrained("xummer/adversarial_qa_dbert_based_on", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Model save
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Training in progress, epoch 5
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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