OFA-Sys/Chinese-CLIP

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5998 stars · 552 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Chinese-CLIP is a Chinese version of the CLIP model trained on ~200 million Chinese image-text pairs, built on open_clip. It provides APIs, training, and evaluation code for cross-modal retrieval, image-text feature extraction and similarity, and zero-shot image classification.

Use cases

• compute image and text embeddings and similarity in Chinese
• build Chinese image-text cross-modal search
• zero-shot image classification with Chinese labels
• finetune a CLIP model on Chinese image-text data
• deploy CLIP models with ONNX, TensorRT, or CoreML

When to choose

• you need Chinese-language vision-language embeddings or retrieval
• you want pretrained CLIP variants from RN50 to ViT-H-14 with training code
• you need zero-shot classification for Chinese datasets

When to avoid

• your application is English-only - use standard OpenAI CLIP or open_clip
• you need a non-PyTorch training framework
• you need a lightweight model without GPU resources

Facets

library · maturity active

machine-learning deep-learning image-processing nlp search-engine machine-learning computer-vision deep-learning large-language-models python cross-platform clip vision-language multimodal image-text-retrieval chinese contrastive-learning pretrained-models zero-shot-classification pytorch coreml natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="OFA-Sys/Chinese-CLIP")