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README.md

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-# Longformer Encoder-Decoder Spanish (LEDS) (base-sized model) 
+# Longformer Encoder-Decoder Spanish (LEDO) (base-sized model) 
 
-LED model based on [BARTO](https://huggingface.co/vgaraujov/bart-base-spanish). It was introduced in the paper [Sequence-to-Sequence Spanish Pre-trained Language Models](https://arxiv.org/abs/2309.11259). 
+LEDO is based on [BARTO](https://huggingface.co/vgaraujov/bart-base-spanish) and was introduced in the paper [Sequence-to-Sequence Spanish Pre-trained Language Models](https://arxiv.org/abs/2309.11259). 
 
 ## Model description
 
-LEDS is a BART-based model (transformer encoder-decoder) with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
+LEDO is a BART-based model (transformer encoder-decoder) with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function and (2) learning a model to reconstruct the original text.
 
 To process 16K tokens, the BARTO's position embedding matrix was simply copied 16 times.