Instructions to use huggingface-course/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface-course/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="huggingface-course/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("huggingface-course/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("huggingface-course/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eed8ceb232cc07b5c4577f873e05184df1f7da9e10584cdc608d6262a5ae436a
- Size of remote file:
- 431 MB
- SHA256:
- cd6a4e6c0eb92693f37f56828aeb1559aced7f0893155441c22018805fde8e60
路
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