-A-New-Paradigm-for-Zero-shot-Text-Classification
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上传日期:2024-05-18 23:59:22
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sh-1993
说明: CLIPTEXT A New Paradigm for Zero shot Text Classification,, stars:0, update:2024-05-14 11:46:14
文件列表:
data/
dataset/
model/
utils/
Zero-Shot Text Classification.ipynb
main.py
processor.py
requirments.txt
# Zero-Shot Text Classification
## Task Description
The task is to utilize Clip model to perform zero-shot text classification. Specifically, the CLIPTEXT model, a novel paradigm for zero-shot text classification, which reformulates zero-shot text
classification into a text-image matching problem that CLIP can be applied.
## Requirements
1. scikit-learn
2. numpy
3. torch
4. torchvision
5. tqdm
6. transformers
7. regex
8. ftfy
9. pillow
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