Instructions to use ModelTC/bert-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bert-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bert-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bert-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bert-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a098829579a7fe03df270e6e2679758b4a5045db4ef0c61cd53bf475c2a2870f
- Size of remote file:
- 871 MB
- SHA256:
- 248ea22bdf5b21a2e3e54150e444541fa6007537c354ecf228a941e9162a0cee
路
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