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No Fine-tuning Required

# No Fine-tuning Required

Camembert Base Xnli
This is a French zero-shot classification model based on transformers.js, suitable for multi-class text classification tasks without fine-tuning.
Text Classification Transformers French
C
xavierbarbier
13
0
Openclip Resnet50 CC12M
MIT
OpenCLIP model based on ResNet50 architecture and trained on the CC12M dataset, supporting zero-shot image classification tasks.
Image Classification
O
thaottn
13.67k
0
Echo Clip R
MIT
A zero-shot image classification model based on the Open CLIP library, supporting various vision tasks
Image Classification
E
mkaichristensen
547
4
CLIP ViT B 16 CommonPool.L S1b B8k
MIT
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks
Text-to-Image
C
laion
517
0
CLIP ViT B 32 CommonPool.M.image S128m B4k
MIT
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks
Text-to-Image
C
laion
73
0
CLIP ViT B 32 CommonPool.M.basic S128m B4k
MIT
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks.
Text-to-Image
C
laion
67
0
CLIP ViT B 32 DataComp.S S13m B4k
MIT
A zero-shot image classification model based on the CLIP architecture, trained on the DataComp dataset, supporting various vision tasks.
Text-to-Image
C
laion
92
0
CLIP ViT B 32 CommonPool.S.clip S13m B4k
MIT
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks
Text-to-Image
C
laion
68
0
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