Instructions to use huggingface-course/bert-finetuned-squad-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface-course/bert-finetuned-squad-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="huggingface-course/bert-finetuned-squad-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("huggingface-course/bert-finetuned-squad-accelerate") model = AutoModelForQuestionAnswering.from_pretrained("huggingface-course/bert-finetuned-squad-accelerate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69abe470a13655b66671a068c79417e6581dffd3e23912b8db61e5fcb485c56e
- Size of remote file:
- 431 MB
- SHA256:
- e9edf070a34728b81c7e9d31ab7af82912f8a1f508e650da0dbbbca5319a2d0a
路
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