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Mentalhealth LM
Apache-2.0
基于BERT架构的文本分类模型，用于评估用户文本或语音输入中的心理健康问题严重程度
文本分类
Transformers
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Distilbert Base Uncased Finetuned Emotional
Apache-2.0
基于DistilBERT的轻量级文本情感分类模型，在emotion数据集上微调，准确率达93.05%
文本分类 Transformers
TransformersD
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Distilbert Base Uncased Finetuned Emotion
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基于DistilBERT的轻量级文本情感分类模型，在emotion数据集上微调，准确率达92.05%
文本分类 Transformers
TransformersD
frahman
17
0
Bert Base Cased Finetuned Emotion
Apache-2.0
基于BERT-base-cased模型在emotion数据集上微调的情感分类模型
文本分类 Transformers
TransformersB
ncduy
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Distilbert Base Uncased Finetuned Emotion
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基于 DistilBERT 的轻量级文本情感分类模型，在 emotion 数据集上微调，准确率达 92.3%
文本分类 Transformers
TransformersD
cscottp27
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0
Distilbert Base Uncased Finetuned Emotion Test 01
Apache-2.0
基于DistilBERT的轻量级文本情感分类模型，在emotion数据集上微调
文本分类 Transformers
TransformersD
lewtun
15
0
Distilbert Base Uncased Finetuned Emotion
Apache-2.0
该模型是基于DistilBERT在emotion数据集上微调的文本分类模型，用于情感分析任务。
文本分类 Transformers
TransformersD
FabioDataGeek
19
0
Distilbert Base Uncased Finetuned Emotion
Apache-2.0
基于DistilBERT的文本情感分类模型，在emotion数据集上微调，准确率达92.25%
文本分类 Transformers
TransformersD
Kiran146
26
0
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