21dl/month
1likes
Identifier
Model ID
ClaudeYang/awesome_fb_modelTags
transformerspytorchbarttext-classificationzero-shot-classificationdataset:multi_nliendpoints_compatibledeploy:azureregion:us
Use awesome_fb_model 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, awesome_fb_model 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
OrganizationClaudeYang
TaskZero Shot Classification
Librarytransformers
Downloads/mo21
Likes1
View on HuggingFace
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