Instructions to use ToluClassics/extractive_reader_nq_squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ToluClassics/extractive_reader_nq_squad_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ToluClassics/extractive_reader_nq_squad_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2") model = AutoModelForQuestionAnswering.from_pretrained("ToluClassics/extractive_reader_nq_squad_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dbd15af2425dc7a0a72b6b33ee398b412d86f14c78a0ac5b040c83a6a7e4b10
- Size of remote file:
- 667 MB
- SHA256:
- d21f442030e484a21bd34ed4178efb86cacb488a0e4857b68549ef8f708b3baa
路
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