Instructions to use nlpconnect/roberta-base-squad2-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpconnect/roberta-base-squad2-nq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlpconnect/roberta-base-squad2-nq")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpconnect/roberta-base-squad2-nq") model = AutoModelForQuestionAnswering.from_pretrained("nlpconnect/roberta-base-squad2-nq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a98d7da3c9d95b4a1b7c9863ecbac3bfb46d5dffbdcd5854ccf95f57b7897ed6
- Size of remote file:
- 496 MB
- SHA256:
- b2f61c7b1710fcc6826fc0cc12dca8c59c0fbdadd82c05bb6ebff2028583fcf6
路
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