Instructions to use deepset/roberta-base-squad2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/roberta-base-squad2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/roberta-base-squad2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2-distilled") model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2-distilled") - Inference
- Notebooks
- Google Colab
- Kaggle
Add evaluation results on the adversarialQA config of adversarial_qa
#2
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!
Your model has been evaluated on the adversarialQA config of the adversarial_qa dataset by @ceyda , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
sjrhuschlee changed pull request status to closed