Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
Eval Results (legacy)
Instructions to use deepset/deberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/deberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/deberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/deberta-v3-base-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Add evaluation results on the plain_text config of squad
#3
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 plain_text config of the squad dataset by @mbartolo , 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 merged