⚠️ This model has been superseded by cirimus/ultrabert-380M-go-emotions . 💡 It is part of the collection Frontier BERT Workhorses . This model was fine-tuned from ModernBERT-large on the GoEmotions dataset for multi-label classification. It predicts emotional states in text, with a total of 28 possible labels. Each input text can have one or more associated labels, reflecting the multi-label nature of the task. The GoEmotions dataset is a multi-label emotion classification dataset derived from Reddit comments. It contains 58,000 examples with 28 emotion labels (e.g., admiration, amusement, anger, etc.), and it is annotated for multi-label classification.

Text analysis

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ultrabert-150M-go-emotions

cirimus

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Text analysis

Input Text→ Output Text

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ultrabert-380M-go-emotions

cirimus

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Text analysis

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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