Instructions to use autoevaluate/extractive-question-answering-not-evaluated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/extractive-question-answering-not-evaluated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="autoevaluate/extractive-question-answering-not-evaluated")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("autoevaluate/extractive-question-answering-not-evaluated") model = AutoModelForQuestionAnswering.from_pretrained("autoevaluate/extractive-question-answering-not-evaluated") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add evaluation results on the autoevaluate--squad-sample config and test split of autoevaluate/squad-sample
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