Instructions to use pankaj1881/question-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pankaj1881/question-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pankaj1881/question-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pankaj1881/question-classification") model = AutoModelForSequenceClassification.from_pretrained("pankaj1881/question-classification") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## 🧠 Use Case
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Given a text input (a user question or statement), the model returns:
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- `"True"`: if the query is a **
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- `"False"`: otherwise
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## 🧠 Use Case
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Given a text input (a user question or statement), the model returns:
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- `"True"`: if the query is a **question**
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- `"False"`: otherwise
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