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:
- 1aed6e2e467d76b301d236b1ea52b6991cd01e2cf0dc66239c80c3bed039c06a
- Size of remote file:
- 3.58 kB
- SHA256:
- 48107ed47aa1b815177ad6c345a8c974e29a9270278aea3e7c815518a6a1ae6c
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