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Fasttext Classification
F
Fasttext Classification
Developed by paulhindemith
Experimental classification model based on fastText word vectors, supporting zero-shot classification tasks
Downloads 49
Release Time : 11/6/2022
Model Overview
This is a classification model built on fastText word vectors, primarily used for zero-shot text classification tasks, especially suitable for Japanese text processing.
Model Features
Zero-shot classification
Classify new categories without specific training
Japanese language support
Classification model specifically optimized for Japanese text
fastText word vectors
Based on fastText pre-trained word vectors with good semantic understanding capabilities
Model Capabilities
Japanese text classification
Zero-shot learning
Multi-label classification
Use Cases
Text classification
One Piece text classification
Classify anime-related texts
Can accurately identify texts related to the sea
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