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:
- 5920dc67ecdb5f7d41fbfdde8c797f4d3b387e69f9a1e5fae05b1e35ffbd7658
- Size of remote file:
- 2.86 kB
- SHA256:
- 260de5baf9c5e4e81c23c2be3fe927da4c3d558798e1df31491a9c039b397c4f
路
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