Instructions to use srcocotero/bert-base-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srcocotero/bert-base-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="srcocotero/bert-base-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("srcocotero/bert-base-qa") model = AutoModelForQuestionAnswering.from_pretrained("srcocotero/bert-base-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b22831d36429609f6de6187eef2f61729fd3532b52aa31ee929f5dd1d515dca4
- Size of remote file:
- 436 MB
- SHA256:
- 6373cc213c3d2aeb36325c43d649ead5075bd430917b144fe2571e73b50353b4
路
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