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Qwen 0.5B DPO 5epoch
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Qwen 0.5B DPO 5epoch

Developed by JayHyeon
Transformers is an open-source library provided by Hugging Face for natural language processing (NLP) tasks, supporting various pretrained models.
Large Language Model
Transformers
Open Source License:MIT#Multitasking#Pretrained Models#Natural Language Understanding
Downloads 25
Release Time : 12/26/2024

Model Overview

The Transformers library offers multiple pretrained models for performing various natural language processing tasks, such as text classification, named entity recognition, question answering systems, etc.

Model Features

Multitask Support
Supports various natural language processing tasks such as text classification, named entity recognition, question answering systems, etc.
Pretrained Models
Provides multiple pretrained models that users can directly use or fine-tune.
Open-source
Fully open-source, allowing users to freely use and modify.

Model Capabilities

Text Generation
Text Classification
Named Entity Recognition
Question Answering
Machine Translation

Use Cases

Text Processing
Sentiment Analysis
Analyze the sentiment tendency of text, such as positive or negative.
High-accuracy sentiment classification
Text Summarization
Generate a brief summary of text.
Produces concise and informative summaries
Question Answering
Automatic Question Answering
Answer questions based on given text.
Provides accurate answers
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