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EXAONE 3.5 2.4B Fine Tuning
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EXAONE 3.5 2.4B Fine Tuning

Developed by good593
Hugging Face's Transformer model library supporting various natural language processing tasks
Large Language Model
Transformers
#Reinforcement Learning Fine-tuning#Language Model Optimization#Multi-task Adaptation
Downloads 65
Release Time : 3/29/2025

Model Overview

This model library is based on the Transformer architecture and supports multiple pre-trained models, suitable for text generation, text classification, question answering, and other natural language processing tasks

Model Features

Multi-task Support
Supports various natural language processing tasks including text generation, text classification, question answering, etc.
Pre-trained Models
Provides multiple pre-trained models that can be used directly or fine-tuned
Easy to Use
Offers a simple API for quick integration and usage

Model Capabilities

Text Generation
Text Classification
Question Answering System
Machine Translation
Sentiment Analysis

Use Cases

Natural Language Processing
Text Generation
Using the model to generate coherent text content
Can produce high-quality text suitable for content creation, automatic summarization, and other scenarios
Text Classification
Classifying text, such as sentiment analysis, topic classification, etc.
High-accuracy classification results suitable for spam filtering, customer feedback analysis, etc.
Question Answering System
Automatic Question Answering
Generating accurate answers based on given questions
Suitable for customer service bots, knowledge base Q&A, and other scenarios
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