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 +4 -4
qbmodel.py
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from typing import List, Tuple
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import nltk
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import sklearn
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import question_categorizer as qc
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from question_categorizer import TextClassificationModel
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from tfidf_model import NLPModel
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import tfidf_model
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import transformers
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import numpy as np
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import pandas as pd
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from typing import List, Tuple
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import nltk
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import sklearn
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import .question_categorizer as qc
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from .question_categorizer import TextClassificationModel
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from .tfidf_model import NLPModel
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import .tfidf_model
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import transformers
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import numpy as np
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import pandas as pd
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