# Cross-language translation
T5 Summary En Ru Zh Large 2048
Apache-2.0
This is a multilingual text summarization and translation model based on the T5 architecture, supporting three languages: English, Russian, and Chinese. It can generate summaries of varying lengths and perform cross-language translations.
Large Language Model
Safetensors Supports Multiple Languages
T
utrobinmv
19.05k
2
T5 3b Q4 K M GGUF
Apache-2.0
This model is a quantized version converted from google-t5/t5-3b to GGUF format using llama.cpp via ggml.ai's GGUF-my-repo space.
Machine Translation Supports Multiple Languages
T
VVS2024
15
0
Nllb 200 Distilled 1.3B Ct2 Int8
A multilingual processing model supporting over 100 languages and scripts, covering from mainstream languages to various dialects and regional variants.
Large Language Model
Transformers Supports Multiple Languages

N
JustFrederik
67
2
Nllb 200 1.3B
A multilingual processing model supporting over 100 languages and writing systems, covering major global language families and dialect variants
Large Language Model
Transformers Supports Multiple Languages

N
facebook
14.03k
57
Rut5 Base Multitask
MIT
A streamlined Russian-English bilingual model based on Google's MT5, supporting 10 text tasks including translation and paraphrasing
Large Language Model Supports Multiple Languages
R
cointegrated
2,076
42
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