Update README.md

README.md

@@ -14,7 +14,7 @@ datasets:
 
 **BART Legal Spanish** (base) is a BART-like model trained on [A collection of corpora of Spanish legal domain](https://zenodo.org/record/5495529#.YZItp3vMLJw).
 
-BART is a transformer encoder-decoder (seq2seq) model 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.
+BART is a transformer *encoder-decoder* (seq2seq) model 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.
 
 This model is particularly effective when fine-tuned for text generation tasks (e.g., summarization, translation) but also works well for comprehension tasks (e.g., text classification, question answering).
 
@@ -24,9 +24,6 @@ This model is particularly effective when fine-tuned for text generation tasks (
 
 TBA
 
-## Model details ⚙
-
-TBA
 
 ## [Evaluation metrics](https://huggingface.co/mrm8488/bart-legal-base-es/tensorboard?params=scalars#frame) 🧾
 
@@ -46,7 +43,9 @@ TBA
 
 ## Acknowledgments
 
-TBA
+- [Narrativa](https://www.narrativa.com/)
+- [QBlocks](https://www.qblocks.cloud/)
+- [jarvislabs](https://jarvislabs.ai/)
 
 ## Citation
 If you want to cite this model, you can use this: