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T5 Summary En Ru Zh Base 2048 GGUF
Apache-2.0
This is a multilingual abstract generation model supporting English, Russian, and Chinese, based on the T5 architecture with multiple quantized versions available.
Text Generation Supports Multiple Languages
T
mradermacher
50
0
Mt5 Ru XLSum
Modified version based on mT5_multilingual_XLSum, optimized for Russian-English bilingual summarization tasks
Text Generation
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
Nehc
43
6
Mt5 Small Amharic Text Summaization
Apache-2.0
A fine-tuned Amharic text summarization model based on google/mt5-small, suitable for news article headline generation tasks.
Text Generation Transformers
TransformersM
yohannesahunm
61
0
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