Phi-3.5-vision-instruct
AI APIs & LLMsimage text to text model by microsoft on Hugging Face (transformers). 667,437 downloads in the last 30 days as of 2026-10-15.
image classification model by legekka on Hugging Face (transformers). 2,974 downloads in the last 30 days as of 2026-10-15.
AI-Anime-Image-Detector-ViT is an open AI model published on Hugging Face by legekka for image classification. Its name indicates it belongs to the Vision Transformer (ViT) model family. Hugging Face reported 2,974 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | legekka |
|---|---|
| Task | image classification |
| Model family (from name) | Vision Transformer (ViT) |
| Library | transformers |
| Downloads (30 days) | 2,974 (as of 2026-10-15) |
| Price | Free to download (open weights) |
Listed as Free. Detailed prices haven't been checked from the official site yet; see AI-Anime-Image-Detector-ViT.
image text to text model by microsoft on Hugging Face (transformers). 667,437 downloads in the last 30 days as of 2026-10-15.
image text to text model by deepseek-ai on Hugging Face (transformers). 539,244 downloads in the last 30 days as of 2026-10-15.
text to image model by SG161222 on Hugging Face (diffusers). 502,606 downloads in the last 30 days as of 2026-10-15.
image text to text model by llava-hf on Hugging Face (transformers). 394,213 downloads in the last 30 days as of 2026-10-15.
image feature extraction model by nomic-ai on Hugging Face (transformers). 385,300 downloads in the last 30 days as of 2026-10-15.
image to text model by ibm-granite on Hugging Face. 259,182 downloads in the last 30 days as of 2026-10-15.
AI-Anime-Image-Detector-ViT is an open AI model published on Hugging Face by legekka for image classification. Its name indicates it belongs to the Vision Transformer (ViT) model family.
AI-Anime-Image-Detector-ViT is listed as free.
1. Open the model card on Hugging Face for usage notes, the base model and the licence. 2. Load it with transformers (for Transformers: `pipeline("image-classification", model="legekka/AI-Anime-Image-Detector-ViT")`). 3. Test it on a small sample of your own data before using it in production.
Related models include Phi-3.5-vision-instruct, DeepSeek-V4-Flash-Vision-Exp, Realistic_Vision_V5.1_noVAE, llava-onevision-qwen2-0.5b-ov-hf, nomic-embed-vision-v1.5.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.