Instructions to use Backedman/TriviaAnsweringMachineREAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Backedman/TriviaAnsweringMachineREAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Backedman/TriviaAnsweringMachineREAL", trust_remote_code=True)# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Backedman/TriviaAnsweringMachineREAL", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update qbmodel.py
Browse files- qbmodel.py +1 -1
qbmodel.py
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@@ -72,7 +72,7 @@ class QuizBowlModel:
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if self.tfidf_models[category] is None:
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self.tfidf_models[category] = NLPModel().load(f"models/{self.categories[category]}_tfidf.pkl")
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self.tfidf_models[-1] = NLPModel().load(f"models/{'ALL'}_tfidf.pkl")
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else:
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for category in range(len(self.categories)):
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if self.tfidf_models[category] is None:
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if self.tfidf_models[category] is None:
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self.tfidf_models[category] = NLPModel().load(f"models/{self.categories[category]}_tfidf.pkl")
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#self.tfidf_models[-1] = NLPModel().load(f"models/{'ALL'}_tfidf.pkl")
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else:
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for category in range(len(self.categories)):
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if self.tfidf_models[category] is None:
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