Instructions to use Backedman/TriviaAnsweringMachine5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Backedman/TriviaAnsweringMachine5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Backedman/TriviaAnsweringMachine5", trust_remote_code=True)# Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Backedman/TriviaAnsweringMachine5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- QBModelWrapper.py +1 -1
QBModelWrapper.py
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@@ -12,7 +12,7 @@ class QBModelWrapper(PreTrainedModel):
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super().__init__(config)
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self.model = QuizBowlModel(clear=True)
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self.
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def forward(self, question):
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super().__init__(config)
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self.model = QuizBowlModel(clear=True)
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self.predict = self.model.predict
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def forward(self, question):
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