VL

    Vision Language Clip

    1

    Use OpenAI's CLIP model in Python for zero-shot image classification by text labels, image-text similarity scoring, text-to-image retrieval, and embedding-based

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I have a folder of product photos. Write a script to classify them as 'electronics', 'apparel', or 'furniture' using CLIP and print the results.

    Your agent does

    ```python inputs = processor(text=["electronics", "apparel", "furniture"], images=imgs, return_tensors="pt", padding=True) outputs = model(**inputs) probs = outputs.logits_per_image.softmax(dim=1) # Results: img1.jpg -> apparel (0.92), img2.jpg -> electronics (0.88) ```

    What you get

    Search image databases using natural language queries.Categorize visual content without retraining custom models.Detect semantic similarity between images and text captions.Cluster large image sets based on visual and conceptual style.

    About this skill

    clip
    vision
    embeddings
    zero-shot
    python

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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