443dl/month
1likes
Identifier
Model ID
mjwong/multilingual-e5-large-instruct-xnli-anliTags
transformerspytorchsafetensorsxlm-robertatext-classificationzero-shot-classificationmultilingualenarbgdeelesfrhiruswthtrurvizhdataset:xnlidataset:facebook/anliarxiv:2212.03533base_model:intfloat/multilingual-e5-large-instructbase_model:finetune:intfloat/multilingual-e5-large-instructlicense:cc-by-nc-4.0endpoints_compatibleregion:us
Use multilingual-e5-large-instruct-xnli-anli 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, multilingual-e5-large-instruct-xnli-anli 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
Organizationmjwong
TaskZero Shot Classification
Librarytransformers
Licensecc-by-nc-4.0
Downloads/mo443
Likes1
View on HuggingFace
See model card, files, and community discussion
Related Zero Shot Classification Models
facebook/bart-large-mnli
3.3M
valhalla/distilbart-mnli-12-1
526K
cross-encoder/nli-deberta-v3-small
509K
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
431K
cross-encoder/nli-deberta-v3-base
369K
cross-encoder/nli-deberta-v3-large
327K
joeddav/xlm-roberta-large-xnli
325K
MoritzLaurer/mDeBERTa-v3-base-mnli-xnli
193K