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PocketChen/SJTU_NIS4307_intro2ai_bertweet
SJTU_NIS4307_intro2ai_bertweet is a text classification model from PocketChen. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model repository contains a fine-tuned BERTweet binary text classification model for the SJTU NIS4307 Introduction to AI course project.
Downloads · 30 days
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13% of all-time downloads
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From the Hugging Face model README
This model repository contains a fine-tuned BERTweet binary text classification model for the SJTU NIS4307 Introduction to AI course project.
The model predicts:
LABEL_0: non-rumor / real / supported contentLABEL_1: rumor / fake / refuted contentThe model is based on vinai/bertweet-base, a RoBERTa-style Transformer encoder pretrained on English tweets.
Input text
-> BERTweet tokenizer
-> BERTweet Transformer encoder
-> pooled / classification representation
-> dropout
-> linear classification head
-> logits for labels 0 and 1