Instructions to use autoevaluate/extractive-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/extractive-question-answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="autoevaluate/extractive-question-answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("autoevaluate/extractive-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("autoevaluate/extractive-question-answering") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on squad
#2
by lewtun HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic evaluation service! Your model has been evaluated on the squad dataset. Accept this pull request to see the results displayed on the Hub leaderboard. Evaluate your model on more datasets here.