Classifies images and searches across datasets using natural language prompts.
npx skills add https://github.com/zeronx798/demo-hermes-agent --skill clip-zeronx798
Please help me install this Agent Skill. Skill: clip Source: https://github.com/zeronx798/demo-hermes-agent/tree/main/optional-skills/mlops/clip Command: npx skills add https://github.com/zeronx798/demo-hermes-agent --skill clip-zeronx798
This Skill solves the difficulty of performing complex image analysis and classification without the need for expensive, specialized training data or fine-tuning.
Use the clip skill to classify the image photo.jpg into categories like dog, cat, or bird.
High-intent search queries and answers about installing and using this skill.
Zero-shot image classification categorizes images using natural language descriptions instead of requiring fine-tuning or expensive labeled datasets. It connects vision and language models to instantly match images against custom text labels for cross-modal retrieval.
Semantic image search retrieves images based on natural language text queries rather than rigid keywords or tags. This approach uses contrastive language-image pre-training to match descriptive sentences directly with visual content across diverse datasets.
Yes, you can use transformers and torch for content moderation to automatically detect and filter NSFW, violent, or graphic content. It leverages vision-language models to evaluate image datasets without needing manually trained moderation classifiers.
Yes, pillow is required to handle image loading and preprocessing for contrastive language-image pre-training tasks. You also need transformers and torch installed to execute the underlying vision-language models effectively.
DaddyElonMusk69Classify images zero-shot using the CLIP model with transformers and torch.
manashmandalGenerate images from text prompts using OpenAI image APIs and extract OCR text from images.
MSamiulHasnatIndex embeddings and perform context-aware similarity queries for document retrieval.
ovachieverEncode images and texts to compute cosine similarity for zero-shot classification and cross-modal retrieval.
