Instructions to use Deehan1866/PR-Pass-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deehan1866/PR-Pass-deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Deehan1866/PR-Pass-deberta-v3-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Deehan1866/PR-Pass-deberta-v3-base") model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/PR-Pass-deberta-v3-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "predict_samples": 5023, | |
| "test_exact_match": 95.46, | |
| "test_f1": 96.61246985750823 | |
| } |