Instructions to use harveyagraphcore/bert-base-uncased-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harveyagraphcore/bert-base-uncased-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="harveyagraphcore/bert-base-uncased-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("harveyagraphcore/bert-base-uncased-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("harveyagraphcore/bert-base-uncased-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a681aab61ae5c40eacca932782363fe48e8b8822a8f1847555d27274748996d2
- Size of remote file:
- 2.74 kB
- SHA256:
- 03af7096159192ae5c5ebb61a92fd8f2e0db0b4b013f523a9bf3a032880ddacc
路
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