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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4112144943324ad0a47693ae8d08ba3519d5f7adcdfeb879f14879afff56832f
- Size of remote file:
- 623 Bytes
- SHA256:
- 67302e3b96ddf900bdb46c7d677371afe566d2b582154e0b906760b678af5a9d
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