Instructions to use asure22/dbert_qa_model_070623 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asure22/dbert_qa_model_070623 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="asure22/dbert_qa_model_070623")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("asure22/dbert_qa_model_070623") model = AutoModelForQuestionAnswering.from_pretrained("asure22/dbert_qa_model_070623") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Jun08_05-08-11_87fda0bd7678/events.out.tfevents.1686200896.87fda0bd7678.276.0
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