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Minilm L3 H384 Uncased
This is a streamlined 3-layer version of the Microsoft MiniLM-L12-H384-uncased model, retaining only layers [3,7,11] from the original model.
Downloads 324
Release Time : 3/2/2022
Model Overview
A lightweight language representation model derived from the MiniLM architecture, suitable for scenarios requiring efficient inference.
Model Features
Lightweight Design
Retains only 3 key layers from the original model, significantly reducing model size and computational requirements.
Efficient Inference
The streamlined model significantly improves inference speed while maintaining reasonable performance.
Based on MiniLM Architecture
Inherits the excellent language representation capabilities of the MiniLM model.
Model Capabilities
Text Representation
Semantic Understanding
Feature Extraction
Use Cases
Text Processing
Lightweight Text Classification
Suitable for text classification tasks in resource-constrained environments
Semantic Similarity Calculation
Can be used to calculate semantic similarity between sentences or phrases
Embedded Applications
Mobile NLP Applications
Ideal for natural language processing applications deployed on mobile devices
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