8Kdl/month
Identifier
Model ID
hanxunh/xtransfer_large_l2_c_0.015_non_targetedTags
XTransferBenchsafetensorsnot-for-all-audiencespytorch_model_hub_mixinmodel_hub_mixinadversarial-attacksrobustnessimage-to-imagearxiv:2505.05528license:mitregion:us
Use xtransfer_large_l2_c_0.015_non_targeted 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, xtransfer_large_l2_c_0.015_non_targeted runs as a managed extractor inside a processing pipeline. Point a bucket of image to image 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
Organizationhanxunh
TaskImage To Image
LibraryXTransferBench
Licensemit
Downloads/mo8K
View on HuggingFace
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