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Resnet101 Clip.openai

Developed by timm
A CLIP model based on ResNet101 architecture, supporting zero-shot image classification tasks.
Image Classification
Safetensors
Open Source License:MIT#Zero-shot classification#Multimodal understanding#Image-text matching
Downloads 2,717
Release Time : 6/9/2024

Model Overview

This model combines the visual encoding capability of ResNet101 with the multimodal learning ability of CLIP, enabling image classification without fine-tuning.

Model Features

Zero-shot learning
Performs image classification tasks without task-specific fine-tuning
Multimodal understanding
Simultaneously understands visual and textual information for cross-modal matching
ResNet101 backbone
Uses the proven ResNet101 architecture as the visual encoder

Model Capabilities

Image classification
Cross-modal retrieval
Zero-shot learning

Use Cases

Image understanding
Zero-shot image classification
Classifies images using natural language descriptions without category-specific training
Content retrieval
Image-text matching
Retrieves relevant images based on text descriptions or generates descriptions from images
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