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Valley-Eagle-7B

Multimodal large-scale models that process text, image and video data

#multimodal
#image recognition
#text processing
#Video analysis
#large model
Valley-Eagle-7B

Product Details

Valley-Eagle-7B is a multi-modal large-scale model developed by Bytedance and is designed to handle a variety of tasks involving text, image and video data. The model achieved best results in internal e-commerce and short video benchmarks, and demonstrated superior performance compared to models of the same size in OpenCompass tests. Valley-Eagle-7B combines LargeMLP and ConvAdapter to build the projector, and introduces VisionEncoder to enhance the model's performance in extreme scenes.

Main Features

1
Achieve top results in e-commerce and short video benchmarks
2
Excellent performance with an average score of over 67 in the OpenCompass test
3
Combining LargeMLP and ConvAdapter to build a projector
4
Introducing VisionEncoder to enhance performance in extreme scenarios
5
The model structure is flexible and the number of visual tokens can be adjusted
6
Supports multi-modal data processing, including text, images and videos

How to Use

1
1. Visit the Hugging Face website and search for the Valley-Eagle-7B model.
2
2. Use pip to install the required dependent libraries according to the code examples provided on the page.
3
3. Follow the guidelines provided on the page to set up the environment, including installing torch, torchvision, and torchaudio.
4
4. Download and install the Valley-Eagle-7B model.
5
5. Write code to handle specific multimodal data tasks based on the model's use case.
6
6. Run the code and analyze the model output to obtain the desired results.
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7. Adjust model parameters as needed to optimize performance.

Target Users

Valley-Eagle-7B is suitable for enterprises and research institutions that need to process and analyze large amounts of multi-modal data, such as e-commerce platforms, video content analysis platforms, etc. These users can take advantage of the powerful performance of Valley-Eagle-7B to improve data processing efficiency and accuracy, thereby optimizing user experience and business decisions.

Examples

The e-commerce platform uses Valley-Eagle-7B to analyze user reviews and product images to optimize product recommendation algorithms.

The video platform uses Valley-Eagle-7B for content moderation, automatically identifying and filtering inappropriate content.

Research institutions use Valley-Eagle-7B to conduct multi-modal data research to explore new data analysis methods.

Quick Access

Visit Website →

Categories

💼 productive forces
› AI model
› multimodal

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