clip

Name: clip
Availability: InStock
Author: Nitish

Classify images and match text-image pairs using the CLIP model.

Updated Jun 26, 2026

Search Tags:#openai #clip #image classification #cross-modal retrieval #image-text matching

Ready to run

npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill clip-nitish-gitbit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clip
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/mlops/clip
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill clip-nitish-gitbit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, torch, pillow, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to analyze images and text using OpenAI's CLIP model, enabling zero-shot image classification, image-text matching, and cross-modal retrieval.

Core Features & Use Cases

Image Classification: Classify images into categories using zero-shot learning.
Image-Text Matching: Find similar images based on text descriptions.
Cross-Modal Retrieval: Retrieve text or images based on the other modality.
Use Case: Use this Skill to search for images of a specific style or object based on a text description.

Quick Start

Use the clip skill to classify the image 'example.jpg'.

Frequently Asked Questions about clip

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform zero-shot image classification without manual feature engineering?▼

Image-text matching with CLIP processes image and text inputs through transformers and torch to calculate similarity scores. This Skill retrieves similar images based on text descriptions or finds matching text for a given image.

Can I use the CLIP model for cross-modal retrieval tasks?▼

Yes, you can use this Skill for cross-modal retrieval by providing an image file like 'example.jpg' and a text query. The CLIP model processes the inputs using pillow for image preprocessing and returns matching results without manual feature extraction.

What libraries do I need to run CLIP for image and text analysis?▼

To run CLIP for image and text analysis, you need the transformers, torch, and pillow libraries. These dependencies handle model inference, tensor operations, and image preprocessing to manipulate image and text data effectively.

What is the best way to search for images of a specific object using a text description?▼

Searching for images using a text description is best achieved through zero-shot image-text matching with CLIP. This Skill maps text queries and images into a shared embedding space to find visually similar images without manual labeling.