Instructions to use deepset/electra-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/electra-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/electra-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/electra-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/electra-base-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a949f28d8eb0946c338e7e913b6acfbab52ce08db8b182def32721c8b57e51
- Size of remote file:
- 436 MB
- SHA256:
- 346d3fdbb702c4199cfc9f0060ff71ebd3f6ac29c8b1ace2e30ebc12a4ad00c1
路
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