jinaai/jina-clip-v2
feature-extraction model by jinaai
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Model card & documentation
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The embedding set trained by Jina AI. Jina CLIP v2: Multilingual Multimodal Embeddings for Texts and Images This model is based on the paper jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images. Blog | Technical Report | Azure | AWS SageMaker | Google Cloud Platform | API jina-clip-v2 is a general-purpose multilingual multimodal embedding model for text & images. Multimodal embeddings enable searching and understanding data across different modalities through a coherent representation. They serve as the backbone of neural information retrieval and multimodal GenAI applications. Built upon jina-clip-v1 and our recently released jina-embeddings-v3, jina-clip-v2 features several significant improvements: Measuring 0.9B parameters, jina-clip-v2 combines two powerful encoders: These encoders are jointly trained to create aligned representations of images and text. CLIP-like models have established themselves as the backbone for general-purpose multimodal applications. With jina-clip-v2, we're taking these capabilities to the next level, breaking down language barriers to deliver more accurate…
Read the full model card ↗ · Preview checked 2026-11-01T17:24:42.844Z
Inside the original model card — Document outline
- Quick Start
- Intended Usage & Model Info
- Training, Data, Parameters
- Faster Inference: FA2, XFormers and bf16
- Usage
- License
- Contact
- Citation
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Model overview
jinaai/jina-clip-v2 is a feature-extraction model repository published by jinaai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 103,285
- Cumulative likes
- 343
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 865,278,476
- Architecture
- JinaCLIPModel
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2024-10-08T14:34:45.000Z
- Last modified
- 2026-04-08T14:03:45.000Z
Compatibility and lineage
Reported languages: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja
Reported base models: jinaai/xlm-roberta-flash-implementation
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:33.310Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.