Instructions to use I77/question_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use I77/question_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="I77/question_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("I77/question_classifier") model = AutoModelForSequenceClassification.from_pretrained("I77/question_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# RuBERT Model for Logical Question Classification
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This model classifies questions as logically correct or incorrect.
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---
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tags:
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- text-classification
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library_name: transformers
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---
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# RuBERT Model for Logical Question Classification
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This model classifies questions as logically correct or incorrect.
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