Generate Stunning Images and Craft Visual Stories for your Brand
Chat with Phi 3.5/3 Vision LLMs. Phi-3.5-vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision.
LitServe Examples ⚡ | This repository contains a collection of example applications built using LitServe, a high-performance AI model serving engine.
Serve Text-to-Video Models in Production
Deploy LitServe API with Traefik Using Docker Compose
Leverage ModernGLiNER's capabilities using LitServe.
Contains solutoins for assignments and learning notes from Extensive Machine Learning Operations course of The School of AI
Replace ollama with LitServe
Leverage GOT-OCR2's optical character recognition capabilities using LitServe.
Leverage ModernBERT's capabilities using LitServe.
This is an AI/ML Project Deployment Template, which uses Litserve & Runpod as backend service & gradio for UI.
Serving cervical cancer cell classification (Pytorch model) with LitServe
Leverage VideoLLaMA 3's capabilities using LitServe.
Leverage Gemma 3's capabilities using LitServe.
Leverage SANA's capabilities using LitServe.
Leverage Aya Vision's capabilities using LitServe.
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