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i229812Haroon/
classifai_model

Name: classifai_model
Rating: 2.5 (5 reviews)

text-embeddings-inference

endpoints_compatible

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Model Card for i229812Haroon/classifai_model

This is a fine-tuned DistilBERT model for automated issue report classification.
It predicts categories such as Bug, Feature Request, or Improvement from natural language issue descriptions.

📝 Model Details

Owner: i229812Haroon
Base Model: DistilBERT
Task: Text Classification (Issue Reports)
Framework: 🤗 Transformers

🚀 Uses

Direct Use

Classify new issue reports (from app reviews, bug trackers, or customer support logs).
Can be integrated into tools like Google Sheets, GitHub bots, or project management dashboards.

Downstream Use

Issue triage automation.
Software maintenance & prioritization workflows.

Out-of-Scope

Not suitable for non-English text (not trained on multilingual data).
May misclassify very short or ambiguous issues.

⚠️ Limitations & Risks

Works best on well-formed English sentences.
Biases may exist if the training dataset had label imbalance.
Confidence scores should not be treated as absolute truth.

💻 How to Use

python

from transformers import pipeline

# Load the model
classifier = pipeline("text-classification", model="i229812Haroon/classifai_model")

# Example
result = classifier("App crashes when I click save")
print(result)
# [{'label': 'Bug', 'score': 0.95}]