Instructions to use SRDdev/QuAC-QA-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/QuAC-QA-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SRDdev/QuAC-QA-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SRDdev/QuAC-QA-BERT") model = AutoModelForQuestionAnswering.from_pretrained("SRDdev/QuAC-QA-BERT") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Apr22_09-18-05_9e212bc8d386/events.out.tfevents.1682155095.9e212bc8d386.20733.0
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