text-embeddings-inference
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Support jinaai/jina-embeddings-v3
Model description
jina-embeddings-v3 is a multilingual multi-task text embedding model designed for a variety of NLP applications. Based on the Jina-XLM-RoBERTa architecture, this model supports Rotary Position Embeddings to handle long input sequences up to 8192 tokens. Additionally, it features 5 LoRA adapters to generate task-specific embeddings efficiently.
Open source status
- [X] The model implementation is available
- [X] The model weights are available
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