# Model Name This repository hosts a fine-tuned machine learning model uploaded on Hugging Face for research and educational purposes. --- ## πŸ“Œ Model Overview - **Base Model:** Qwen/Qwen3-4B-Instruct - **Task:** Text Classification - **Framework:** Transformers (PyTorch) - **License:** Apache 2.0 This model is designed to analyze input text and perform classification tasks useful for intelligent agents and AI-based applications. --- ## 🎯 Intended Use - Text classification - AI agent decision-making - Academic research - Educational demonstrations --- ## 🚫 Limitations - The model may not generalize well to unseen domains. - It should not be used for high-risk or sensitive applications without additional evaluation. --- ## πŸ“Š Evaluation Results This model has not been formally evaluated yet. Evaluation metrics will be added in a future version. --- ## 🧠 Training Data The model was trained using a **custom dataset** prepared specifically for the intended task. --- ## βš–οΈ Ethical Considerations Users should ensure responsible usage and avoid misuse of the model. Biases may exist depending on the training data. --- ## πŸ“¦ How to Use ```python from transformers import pipeline classifier = pipeline("text-classification", model="your-username/model-name") result = classifier("Your input text here") print(result)

#1
by Chaya09 - opened

Model Overview

Base Model: Qwen/Qwen3-4B-Instruct

Task: Text Classification

Framework: Transformers (PyTorch)

License: Apache 2.0

This model is designed to analyze input text and perform classification tasks useful for intelligent agents and AI-based applications.

🎯 Intended Use

Text classification

AI agent decision-making

Academic research

Educational demonstrations

🚫 Limitations

The model may not generalize well to unseen domains.

It should not be used for high-risk or sensitive applications without additional evaluation.

πŸ“Š Evaluation Results

This model has not been formally evaluated yet.
Evaluation metrics will be added in a future version.

🧠 Training Data

The model was trained using a custom dataset prepared specifically for the intended task.

βš–οΈ Ethical Considerations

Users should ensure responsible usage and avoid misuse of the model.
Biases may exist depending on the training data.

Add initial README and model card

Chaya09 changed pull request status to merged

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