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Text2vec Large Chinese Onnx
ONNX runtime version of text2vec-large-chinese for text vectorization tasks.
Text Embedding
Transformers Supports Multiple LanguagesOpen Source License:Apache-2.0#Text Vectorization#Multilingual Support#ONNX Inference
Transformers Downloads 23
Release Time : 6/25/2024
Model Overview
This model is the ONNX version of text2vec-large-chinese, primarily used for converting Chinese text into vector representations, suitable for tasks such as text similarity calculation and semantic search.
Model Features
ONNX Runtime Support
The model has been converted to ONNX format and can run efficiently on platforms supporting ONNX runtime.
Multilingual Support
Supports vectorization of both Chinese and English text.
Efficient Inference
Optimized through ONNX runtime to provide efficient text vectorization inference performance.
Model Capabilities
Text Vectorization
Semantic Similarity Calculation
Text Retrieval
Use Cases
Information Retrieval
Semantic Search
Convert query text and documents into vectors to achieve semantic search through vector similarity.
Improves the relevance and accuracy of search results.
Natural Language Processing
Text Clustering
Convert text into vectors and perform cluster analysis.
Discover latent topics or patterns in text data.
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