PaliGemma 2 mix
PaliGemma 2 mix is a versatile visual language model suitable for a variety of tasks and domains.
Product Details
PaliGemma 2 mix is an upgraded version of the visual language model launched by Google and belongs to the Gemma family. It can handle a variety of visual and language tasks, such as image segmentation, video subtitle generation, scientific question answering, etc. The model provides pre-trained checkpoints of different sizes (3B, 10B, and 28B parameters) and can be easily fine-tuned to suit a variety of visual language tasks. Its main advantages are versatility, high performance and developer-friendliness, supporting multiple frameworks (such as Hugging Face Transformers, Keras, PyTorch, etc.). This model is suitable for developers and researchers who need to efficiently handle visual and language tasks, and can significantly improve development efficiency.
Main Features
How to Use
Target Users
This product is suitable for developers, researchers and professionals in related fields who need to handle visual and language tasks. It can help them quickly implement complex visual language applications, improve development efficiency, and support multiple frameworks and tools, lowering the development threshold.
Examples
Use PaliGemma 2 mix to generate accurate subtitles for short videos and improve content readability.
The image question and answer function helps users quickly obtain key information in images.
In medical image analysis, segmentation function is used to assist doctors in diagnosis.
Quick Access
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