Instructions to use bhadresh-savani/electra-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadresh-savani/electra-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="bhadresh-savani/electra-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("bhadresh-savani/electra-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("bhadresh-savani/electra-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e3d88c145849b40cb5f27932283a925dc552e4b13179c512a51de8b63130d5b
- Size of remote file:
- 436 MB
- SHA256:
- 33abdbab680c8bae8707320df17c5d4fba5969adb465e81029905fa0284d3d3e
路
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