QA-CLIP
Chinese CLIP models with SOTA performance.
AI summary
Chinese CLIP model
Provides Chinese language models with high performance for image-text retrieval and classification tasks.
- stars
- 51
- forks
- 5
- watching
- 3
Similar projects
Found by comparing what the projects do, not just their names.
Language Model
This project makes a large language model accessible for research and development
Image QA model
This project provides code for training image question answering models using stacked attention networks and convolutional neural networks.
Chinese language models
Provides pre-trained models for Chinese language tasks with improved performance and smaller model sizes compared to existing models.
Chinese language model
Trains a large Chinese language model on massive data and provides a pre-trained model for downstream tasks
Chinese model
A pre-trained Chinese language model with a modest parameter count, designed to be accessible and useful for researchers with limited computing resources.
Chinese NLP Models
Provides pre-trained models for Chinese natural language processing tasks using the XLNet architecture
Python Q&A archive
A collection of Python-related questions and answers from Stack Overflow, with some answers translated into Chinese.
Model comparator
Evaluates and compares the performance of various CLIP-like models on different tasks and datasets.
Video-language model
An efficient framework for end-to-end learning on image-text and video-text tasks
Video benchmarking toolkit
Evaluates and benchmarks large language models' video understanding capabilities
Chinese Text Model
An implementation of a large language model for Chinese text processing, focusing on MoE (Multi-Headed Attention) architecture and incorporating a vast vocabulary.
Model value alignment
Evaluates and aligns the values of Chinese large language models with safety and responsibility standards
Chinese NLP library
Provides pre-trained Chinese language models based on the ELECTRA framework for natural language processing tasks
Chinese understanding benchmark
Measures the understanding of massive multitask Chinese datasets using large language models
Paragraph QA tools
Tools and codebase for training neural question answering models on multiple paragraphs of text data
