Instructions to use ToluClassics/extractive_reader_nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ToluClassics/extractive_reader_nq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ToluClassics/extractive_reader_nq")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ToluClassics/extractive_reader_nq") model = AutoModelForQuestionAnswering.from_pretrained("ToluClassics/extractive_reader_nq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae3bdd39d18392b6554d4c22cb6626c4bffbfadb140c42bfd6a5e887d525baf6
- Size of remote file:
- 667 MB
- SHA256:
- bfacfdec7a269d6807bf690be3a6977dfe05c5554e3d1d7ddf63768e004d35cf
路
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