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:
- 75b50b28214f36d7d3ac3e5f0ebc6710c67123ce739fad40c273e05bb6809918
- Size of remote file:
- 3.38 kB
- SHA256:
- f261bd57daa7ed0e57076f1d616f509e6974471248dad88abbdcefcd339de7c4
路
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