14dl/month
4likes
Identifier
Model ID
hy1111/CLIP-RSTags
transformersclipzero-shot-image-classificationzero-shot-classificationenarxiv:2502.13990base_model:openai/clip-vit-large-patch14-336base_model:finetune:openai/clip-vit-large-patch14-336license:mitendpoints_compatibleregion:us
Use CLIP-RS on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, CLIP-RS runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationhy1111
TaskZero Shot Classification
Librarytransformers
Licensemit
Downloads/mo14
Likes4
View on HuggingFace
See model card, files, and community discussion
Related Zero Shot Classification Models
facebook/bart-large-mnli
3.4M
cross-encoder/nli-deberta-v3-small
686K
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
637K
valhalla/distilbart-mnli-12-1
480K
cross-encoder/nli-deberta-v3-base
361K
joeddav/xlm-roberta-large-xnli
332K
cross-encoder/nli-deberta-v3-large
309K
typeform/distilbert-base-uncased-mnli
247K