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:
- d77e865733452f1d136ff94a4232489ea5b8729df918c3f97c4022263adcfe02
- Size of remote file:
- 49.4 MB
- SHA256:
- 18d511c0d132f0e48fe99ac5ddd48007333f3e50e4b5b280f2886802a7d137f1
路
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