Instructions to use Taekyoon/dpr_question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taekyoon/dpr_question with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Taekyoon/dpr_question")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Taekyoon/dpr_question") model = AutoModel.from_pretrained("Taekyoon/dpr_question") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0ee3c323d07aa37f61d2d2a17eba3e20d971584f0c525515ffa74d6b6ae162a
- Size of remote file:
- 473 MB
- SHA256:
- 53f3ad49ac447764e7cbf1b555be5469dad9b13a8b38bc06913d5cb0ca4adb0c
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