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Chaya09/viralfrogil:
# Model Name This repository hosts a fine-tuned machine learning model uploaded on Hugging Face for research and educational purposes. --- ## ๐ 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. --- ## ๐ฏ Intended Use - Text classification - AI agent decision-making - Academic research - Educational demonstrations --- ## ๐ซ Limitations - The model may not generalize well to unseen domains. - It should not be used for high-risk or sensitive applications without additional evaluation. --- ## ๐ Evaluation Results This model has not been formally evaluated yet. Evaluation metrics will be added in a future version. --- ## ๐ง Training Data The model was trained using a **custom dataset** prepared specifically for the intended task. --- ## โ๏ธ Ethical Considerations Users should ensure responsible usage and avoid misuse of the model. Biases may exist depending on the training data. --- ## ๐ฆ 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)
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# Model Name This repository hosts a fine-tuned machine learning model uploaded on Hugging Face for research and educational purposes. --- ## ๐ 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. --- ## ๐ฏ Intended Use - Text classification - AI agent decision-making - Academic research - Educational demonstrations --- ## ๐ซ Limitations - The model may not generalize well to unseen domains. - It should not be used for high-risk or sensitive applications without additional evaluation. --- ## ๐ Evaluation Results This model has not been formally evaluated yet. Evaluation metrics will be added in a future version. --- ## ๐ง Training Data The model was trained using a **custom dataset** prepared specifically for the intended task. --- ## โ๏ธ Ethical Considerations Users should ensure responsible usage and avoid misuse of the model. Biases may exist depending on the training data. --- ## ๐ฆ 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)
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Chaya09
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Chaya09/viralforge
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Chaya09/viralfrogil
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Chaya09/momo_a-motivator
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