Models/Zero Shot Classification/Raffix/routing_module_action_question_conversation_move_hack_debertav3_nli
routing_module_action_question_conversation_move_hack_debertav3_nli
by Raffix
7Kdl/month
Identifier
Model ID
Raffix/routing_module_action_question_conversation_move_hack_debertav3_nliTags
transformerstensorboardsafetensorsdeberta-v2text-classificationzero-shot-classificationenlicense:mitendpoints_compatibleregion:us
Use routing_module_action_question_conversation_move_hack_debertav3_nli 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, routing_module_action_question_conversation_move_hack_debertav3_nli 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
OrganizationRaffix
TaskZero Shot Classification
Librarytransformers
Licensemit
Downloads/mo7K
View on HuggingFace
See model card, files, and community discussion
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