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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c05d3931ee58c5d46fd20dac094f6e8c25e6453d02ace68a30e1e86a68c2a449
- Size of remote file:
- 496 MB
- SHA256:
- 1b9cbfdceea863a3aab039d32442d8c1d7c7ae265fc816b41d1fe4ea5309bdcb
路
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