Instructions to use AIForge/bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIForge/bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AIForge/bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AIForge/bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("AIForge/bert-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1126ce1d30d682845914a0ece96c7a87db9fd25831c2e60fbfde8c8ec02cc5a1
- Size of remote file:
- 539 MB
- SHA256:
- 91b24f813cfda530aa4738e22eab5aa8ae2f4afd50b455691d4ffae60fdf2202
路
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