Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe 4108a7665f | 2 months ago | |
---|---|---|
app | 3 months ago | |
demo_data | 3 months ago | |
docs | 3 months ago | |
.gitignore | 3 months ago | |
Dockerfile | 3 months ago | |
LICENSE | 3 months ago | |
README.md | 2 months ago | |
application.yml | 3 months ago | |
build-docker.sh | 3 months ago | |
pack_model.py | 3 months ago | |
pip-install-reqs.sh | 3 months ago | |
requirements.txt | 3 months ago | |
run_model_server.py | 3 months ago |
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on TextCaps.
It was introduced in the paper GIT: A Generative Image-to-text Transformer for Vision and Language by Wang et al. and first released in this repository.
GIT is a Transformer decoder conditioned on both CLIP image tokens and text tokens. The model is trained using "teacher forcing" on a lot of (image, text) pairs.
The goal for the model is simply to predict the next text token, giving the image tokens and previous text tokens.
The model has full access to (i.e. a bidirectional attention mask is used for) the image patch tokens, but only has access to the previous text tokens (i.e. a causal attention mask is used for the text tokens) when predicting the next text token.
This allows the model to be used for tasks like:
模型来源: https://hf-mirror.com/microsoft/git-base-textcaps
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
No Description
Python Shell Dockerfile Text other
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》