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:
- 95385e54b8c69de0b9cd77283d53bfbc7c940e9a4b8350350974dd7e34e7a7e1
- Size of remote file:
- 3.64 kB
- SHA256:
- 92bed58ed33e338369e512b3498d2d4a491e571cb10d0ce744e47b9ac6db6fe4
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