Vrandan
/

Comment-Moderation

Text Classification

content-moderation

comment-moderation

text-moderation

Inference Endpoints

Model card Files Files and versions Community

Vrandan commited on Jan 23

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@@ -15,7 +15,7 @@ base_model:
 [![HuggingFace](https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue)](https://huggingface.co/Vrandan/Comment-Moderation)
 [![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/release/python-370/)
-[![License](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
 A powerful, multi-label content moderation system built on **DistilBERT** architecture, designed to detect and classify potentially harmful content in user-generated comments with high accuracy. This model stands out as currently the best in terms of performance based on the provided dataset for text moderation. Additionally, it has the smallest footprint, making it ideal for deployment on edge devices. Currently, it is the only model trained to achieve such high performance while maintaining a minimal size relative to the training data on Hugging Face.

 [![HuggingFace](https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-blue)](https://huggingface.co/Vrandan/Comment-Moderation)
 [![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/release/python-370/)
+[![License](https://img.shields.io/badge/License-OpenRAIL-green.svg)](https://opensource.org/licenses/MIT)
 A powerful, multi-label content moderation system built on **DistilBERT** architecture, designed to detect and classify potentially harmful content in user-generated comments with high accuracy. This model stands out as currently the best in terms of performance based on the provided dataset for text moderation. Additionally, it has the smallest footprint, making it ideal for deployment on edge devices. Currently, it is the only model trained to achieve such high performance while maintaining a minimal size relative to the training data on Hugging Face.