Instructions to use Backedman/TriviaAnsweringMachine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Backedman/TriviaAnsweringMachine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Backedman/TriviaAnsweringMachine", trust_remote_code=True)# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Backedman/TriviaAnsweringMachine", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92dbee0a564152c3ed5186facc1674299bf73604c6e68d5cfe4ef2fca26ce61a
- Size of remote file:
- 26.9 MB
- SHA256:
- 2c88b6bbd839788571ec706c83dc8dc51f3dcd3e2ba1569bc2d8f5525565b441
路
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