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Transformers
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tau/sled
Inference Endpoints
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  language: en
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- # T5(v1.1)-SLED (SLiding-Encoder and Decoder, base-sized model)
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  SLED models use pretrained, short-range encoder-decoder models, and apply them over
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  long-text inputs by splitting the input into multiple overlapping chunks, encoding each independently and perform fusion-in-decoder
 
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  language: en
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+ # T5(v1.1)-SLED (SLiding-Encoder and Decoder, large-sized model)
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  SLED models use pretrained, short-range encoder-decoder models, and apply them over
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  long-text inputs by splitting the input into multiple overlapping chunks, encoding each independently and perform fusion-in-decoder