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# 抽取式摘要
Extractive Summarization
MIT
該模型是基於t5-small微調的版本，專為使用PubMed數據集總結科學和醫學文本而優化。
文本生成 English
E
nyamuda
94
0
Pubmedbert Bio Ext Summ
Apache-2.0
基於PubMedBERT預訓練模型，在MS^2數據集上微調的抽取式摘要模型，專門用於生物醫學領域的文本摘要任務。
文本生成
Transformers English
Transformers EnglishP
NotXia
20
1
Longformer Bio Ext Summ
Apache-2.0
基於MS^2數據集微調的Longformer抽取式摘要模型，專為生物醫學領域文本摘要任務設計。
文本生成 Transformers English
Transformers EnglishL
NotXia
24
2
Rubert Tiny2 Sentence Compression
基於rubert-tiny2架構的俄語句子壓縮模型，可預測並刪除句子中不影響核心語義的單詞。
文本生成 Transformers
TransformersR
cointegrated
613
3
Rubert Ext Sum Gazeta
Apache-2.0
基於rubert-base-cased構建的抽取式摘要生成模型，專門針對俄語新聞文本優化
文本生成 Transformers Other
Transformers OtherR
IlyaGusev
38
2
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對話系統 Transformers English
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基於RoBERTa架構的中文抽取式問答模型，適用於從給定文本中提取答案的任務。
問答系統 Chinese
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