Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching
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Updated
May 28, 2025 - Python
Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching
Segment Anything combined with CLIP
podcastfy.ai gradio demo app
Complex question answering in LLMs with enhanced reasoning and information-seeking capabilities.
A performant high-throughput CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.
Colorize your black and white images and YouTube videos for free. Streamlit application based on CNN deployed on Hugging Face.
Dehaze input images/ video
This project employs the GFPGAN algorithm to upscale and restore images. The tool leverages state-of-the-art deep learning models to enhance image quality and potentially restore degraded parts of the image.
Your open-source alternative to AlphaFold3🚀
A fast CPU-first video/audio transcriber for generating caption files with Whisper and CTranslate2, hosted on Hugging Face Spaces.
Automagically create flashcards from text
The Real-Time Speech Emotion Recognition Bot leverages OpenAI Whisper, Streamlit to analyze and identify emotions in spoken language in real-time.
A Large Language Model (LLM) Based App to Generate Stories from Pictures
Demo App deployed on huggingface spaces using Gradio which shows 2 methods AnimeGANV2 and OpenCV to cartoonify images.
模型介绍和我的huggingface地址: 1.About medical_gpt: Training Your Own medical_gpt Model with ChatGPT Training Pipeline. 训练医疗大模型,实现了包括增量预训练、有监督微调、RLHF(奖励建模、强化学习训练)和DPO(直接偏好优化)。2.https://huggingface.co/shancx
A journalist that knows lots of news about AI!📰💻
Automates the process of restarting and rebuilding Hugging Face spaces.
ClassyText is a demo for zero-shot text classification using ModernBERT-large from Hugging Face.
PicQ: Demo for MiniCPM-o 2.6 to answer questions about images using natural language.
Creates summary for YouTube video based on subtitles
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