Instructions to use allenai/transformer_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use allenai/transformer_qa with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://allenai/transformer_qa") predictor_input = {"passage": "My name is Wolfgang and I live in Berlin", "question": "Where do I live?"} predictions = predictor.predict_json(predictor_input) - Notebooks
- Google Colab
- Kaggle
A reading comprehension model patterned after the proposed model in Devlin et al, with improvements borrowed from the SQuAD model in the transformers project The model implements a reading comprehension model patterned after the proposed model in BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (Devlin et al, 2018), with improvements borrowed from the SQuAD model in the transformers project. It predicts start tokens and end tokens with a linear layer on top of word piece embeddings.
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