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Minilm NaturalQuestions

Developed by remunds
A model fine-tuned on the NaturalQuestions dataset based on microsoft/MiniLM-L12-H384-uncased, suitable for question-answering tasks
Downloads 31
Release Time : 1/30/2023

Model Overview

This model is a lightweight language model based on the MiniLM architecture, fine-tuned on the NaturalQuestions dataset, primarily used for open-domain question-answering tasks.

Model Features

Lightweight Architecture
Based on the 12-layer MiniLM architecture with moderate parameter size, suitable for resource-constrained environments
Question-Answering Optimization
Fine-tuned on the NaturalQuestions dataset, optimized for question-answering tasks
Efficient Inference
Compared to large language models, it offers faster inference speed and lower memory requirements

Model Capabilities

Open-domain Question Answering
Text Understanding
Information Retrieval

Use Cases

Q&A System
Fact-based Question Answering
Answering fact-based open-domain questions
Knowledge Base Query
Retrieving answers from structured or unstructured knowledge bases
Educational Applications
Learning Assistance
Helping students answer learning-related questions
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