Update README.md

The GI-Watermark-Remover is a powerful model designed to help users remove watermarks from images, making it ideal for content creators, artists, and digital media professionals. This model is based on the MediaTek-Research/Breeze-7B-Instruct-v1.0 architecture, fine-tuned for removing common types of watermarks from digital images with high accuracy and minimal impact on image quality. It supports multiple languages, including English, Tamil, Hindi, and Telugu, and uses advanced techniques in image processing and inpainting to deliver clean, watermark-free results.

Key Features
High Accuracy: Trained with a diverse set of images to improve watermark detection and removal.
Multi-Language Support: Works with images containing text watermarks in various languages.
Versatile Use: Ideal for removing watermarks from art, music cover images, educational graphics, and more.
Intended Use
The GI-Watermark-Remover model is useful for:

Digital content restoration
Image post-processing in creative fields
Simplifying watermark removal for educational, artistic, or research purposes
Limitations
This model is optimized for common watermarks and may not work on complex, embedded, or transparent watermarks. Use responsibly and respect copyright and ownership rights.

README.md

@@ -1,3 +1,23 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- fka/awesome-chatgpt-prompts
+language:
+- en
+- ta
+- hi
+- te
+metrics:
+- accuracy
+base_model:
+- MediaTek-Research/Breeze-7B-Instruct-v1_0
+new_version: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+pipeline_tag: question-answering
+library_name: asteroid
+tags:
+- art
+- music
+- biology
+- chemistry
+- text-generation-inference
+---