Mobileclip S0 by Xenova

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Mobileclip S0 is an open-source language model by Xenova. Features: LLM, License: other, LLM Explorer Score: 0.14.

  Clip   Feature-extraction   Image-feature-extraction   Mobileclip   Onnx   Region:us   Transformers.js   Zero-shot-image-classification
Model Card on HF ๐Ÿค—: https://huggingface.co/Xenova/mobileclip_s0 

Mobileclip S0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mobileclip S0 (Xenova/mobileclip_s0)
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Mobileclip S0 Parameters and Internals

Model Type 
zero-shot-image-classification
Additional Notes 
This implementation utilizes ONNX weights to be compatible with Transformers.js. The provided example demonstrates the zero-shot image classification capability using Transformers.js.
Input Output 
Accepted Modalities:
image
Output Format:
classification probabilities
Performance Tips:
Vision model is sensitive to quantization.
LLM NameMobileclip S0
Repository ๐Ÿค—https://huggingface.co/Xenova/mobileclip_s0 
Updated2026-03-21
MaintainerXenova
Model Typeclip
Model ArchitectureAutoModel
Licenseother
Model Max Length77
Tokenizer ClassCLIPTokenizer
Beginning of Sentence Token<|startoftext|>
End of Sentence Token<|endoftext|>
Padding Token!
Unk Token<|endoftext|>
Errorsreplace

Best Alternatives to Mobileclip S0

Best Alternatives
Context / RAM
Downloads
Likes
Distil Longformer Base 40964K / 0.4 GB110
Daedalus 11K /  GB91
Tiny Random Detr1K / 0.2 GB210
Opengpt2 Pytorch Backward1K / 6 GB111
Opengpt2 Pytorch Forward1K / 6 GB41
Finsent Transformer0.5K / 0.4 GB01
Bert Tiny0.5K / 0 GB14840676133
Simbert Chinese Base0.5K / 0.4 GB60
Bert Chinese L 12 H 768 A 120.5K / 0.4 GB11
Simbert Chinese Tiny0.5K / 0 GB50
Note: green Score (e.g. "73.2") means that the model is better than Xenova/mobileclip_s0.

Rank the Mobileclip S0 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a