Describe images in the WordPress Media Library using a local large language model. Generates titles, captions, descriptions, and alt tags.
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Updated
Jan 29, 2024 - PHP
Describe images in the WordPress Media Library using a local large language model. Generates titles, captions, descriptions, and alt tags.
a unique blend of features from your favorite social media platforms like Facebook, Twitter, Reddit, and Instagram, all in one convenient place
Website for data science undergraduate capstone project "Improving Performance of Vision Encoding Large Language Models with Contextual Prompts" @UCSD HDSI 2024
A simple fun app to create your linkedin profile roast
FreeVA: Offline MLLM as Training-Free Video Assistant
中文医学多模态大模型 Large Chinese Language-and-Vision Assistant for BioMedicine
⚗️ Llava 13b model repository trained by liuhaotian managed by DVC
Explore the rich flavors of Indian desserts with TunedLlavaDelights. Utilizing the in Llava fine-tuning, our project unveils detailed nutritional profiles, taste notes, and optimal consumption times for beloved sweets. Dive into a fusion of AI innovation and culinary tradition
Generate text from images and translation text English to Arabic
Leveraging state-of-the-art (SOTA) language models (LLMs) and orchestration frameworks like LangChain, Vox optimizes multimodal interactions, enhancing communication tasks with personalized assistance and enriched user experiences.
Joint work as part of a bachelor's thesis on utilizing a combination of NLP and CV methods in implementing multimodal approaches to combat hate speech in memes.
Docker image for LLaVA: Large Language and Vision Assistant
Caption images across your datasets with state of the art models from Hugging Face and Replicate!
Class-Conditional self-reward mechanism for improved Text-to-Image models
Visualizing the attention of vision-language models
Ask LLaMa about image in your clipboard
Add a description, image, and links to the llava topic page so that developers can more easily learn about it.
To associate your repository with the llava topic, visit your repo's landing page and select "manage topics."