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 tfidf_model.py
Browse files- tfidf_model.py +1 -1
tfidf_model.py
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@@ -202,7 +202,7 @@ class NLPModel:
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# Initialize data structures
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similarities_max = {}
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similarities_per_sentence = []
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answers =
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# Iterate over sentence similarities
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for similarity_row in sentence_similarities:
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# Initialize data structures
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similarities_max = {}
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similarities_per_sentence = []
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answers = []
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# Iterate over sentence similarities
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for similarity_row in sentence_similarities:
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