WangChanBERTa-base-att-spm-uncased-tagging Open Source Model - Can Be Used for Multi-domain Applications Based on Fine-tuning

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Wangchanberta Base Att Spm Uncased Tagging

Developed by bookpanda

A fine-tuned model based on airesearch/wangchanberta-base-att-spm-uncased, specific purpose not clearly stated

Large Language Model

Transformers

#Thai text processing #Attention mechanism optimization #Sequence labeling task

Downloads 41

Release Time : 6/19/2022

Model Overview

This model is a fine-tuned version based on the WangChanBERTa base model, potentially used for text tagging or classification tasks, but the specific purpose is not clearly stated in the card.

Model Features

Fine-tuned based on WangChanBERTa

Optimized using a powerful Thai pre-trained model as the base

Attention mechanism optimization

Utilizes attention mechanism (att) and sentence piece model (spm) for text processing

Case insensitive

Uncased design makes the model case insensitive

Model Capabilities

Thai text processing

Text tagging

Sequence classification (inferred)

Use Cases

Natural Language Processing

Thai text classification

Potentially used for sentiment analysis or topic classification of Thai texts

Information extraction

Potentially used for extracting key information or entities from Thai texts

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Wangchanberta Base Att Spm Uncased Tagging

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wangchanberta-base-att-spm-uncased-tagging

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Model description

Intended uses & limitations

Training and evaluation data

Training procedure

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