Instructions to use vuiseng9/bert-base-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuiseng9/bert-base-squadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vuiseng9/bert-base-squadv1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vuiseng9/bert-base-squadv1") model = AutoModelForQuestionAnswering.from_pretrained("vuiseng9/bert-base-squadv1") - Notebooks
- Google Colab
- Kaggle
Commit History
Add OpenVINO IR eab1115
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Update bert-base-squadv1.onnx generated with torch 1.8.1 8b42301
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Add model 9130d92
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Add collaterals d96569c
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