Classify images with OpenAI's CLIP model for zero-shot recognition.
npx skills add https://github.com/Tommy-yw/RunbookHermes --skill clip-tommy-yw
Please help me install this Agent Skill. Skill: clip Source: https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/mlops/clip Command: npx skills add https://github.com/Tommy-yw/RunbookHermes --skill clip-tommy-yw
This Skill provides zero-shot image classification, image-text matching, and cross-modal retrieval capabilities, enabling users to perform tasks like image search, content moderation, and vision-language analysis without fine-tuning.
Use the clip skill to classify the image 'photo.jpg' into one of the following categories: 'a dog', 'a cat', 'a bird', 'a car', 'a person'.
High-intent search queries and answers about installing and using this skill.
Zero-shot image classification without labeled training data uses OpenAI's CLIP model to match images against text descriptions. This Skill applies the CLIP model directly to categorize images based on semantic text prompts.
Yes, image-text matching is supported using the transformers and torch libraries. This Skill leverages these dependencies to compute similarity scores between image features and text descriptions via the CLIP model.
The best way to moderate user-generated images is using zero-shot vision-language models like CLIP. It detects inappropriate content by matching images against moderation text categories without fine-tuning.
No, semantic image search does not require fine-tuning the CLIP model. This Skill performs cross-modal retrieval directly, matching text queries against image embeddings to find relevant images out of the box.
To classify an image into custom categories using CLIP, provide the image file and a list of text descriptions. The Skill processes the inputs with transformers and pillow to output the best matching category.
DaddyElonMusk69Classify images zero-shot using the CLIP model with transformers and torch.
eddieluengCompute image and text embeddings for zero-shot classification and retrieval.
georgekhananaevDesign Pydantic v2 models for API validation and MongoDB integration.
dawsonblockClassifies images and measures image-text similarity using CLIP without fine-tuning.
