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contexst-multilingual-embeddings
memeticresearch/contexst-multilingual-embeddings
contexst-multilingual-embeddings is a machine learning model from memeticresearch. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
CoreML models for multilingual text embeddings in iOS apps.
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At a glance
- Access
- Public
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- c417f722
Model card
From the Hugging Face model README
Contex.st Multilingual Embeddings
CoreML models for multilingual text embeddings in iOS apps.
Models
512 Token Versions (RECOMMENDED)
These models support the full 512 token context window for high-quality embeddings:
paraphrase-multilingual-MiniLM-L12-v2-512tokens.mlmodel- 384 dimensions, ~449 MBdistiluse-base-multilingual-cased-512tokens.mlmodel- 768 dimensions, ~514 MB
Legacy 32 Token Versions (NOT RECOMMENDED)
These models only support 32 tokens and will produce lower quality embeddings:
sentence_transformers_paraphrase_multilingual_MiniLM_L12_v2.mlmodel- 32 tokens onlysentence_transformers_distiluse_base_multilingual_cased.mlmodel- 32 tokens only
Usage
Use the 512 token versions for production. The 32 token versions are kept for backward compatibility only.
Source Models
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025