285dl/month
Identifier
Model ID
Xenova/esm2_t6_8M_UR50D_sequence_classifier_v1Tags
transformers.jsonnxesmtext-classificationzero-shot-classificationbase_model:AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1base_model:quantized:AmelieSchreiber/esm2_t6_8M_UR50D_sequence_classifier_v1region:us
Use esm2_t6_8M_UR50D_sequence_classifier_v1 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, esm2_t6_8M_UR50D_sequence_classifier_v1 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
OrganizationXenova
TaskZero Shot Classification
Librarytransformers.js
Downloads/mo285
View on HuggingFace
See model card, files, and community discussion
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