Update README.md

README.md

@@ -24,7 +24,7 @@ Try the [demo app]() which contains both table detection and recognition!
 
 This model takes an image of a table and outputs HTML - the model parses the image and performs optical character recognition (OCR) and structure recognition to HTML format. 
 
-The model expects an image containing only a table. If the table is embedded in a document, first use a table detection model to extract it.
+The model expects an image containing only a table. If the table is embedded in a document, first use a table detection model to extract it (e.g. [Microsoft's Table Transformer model](https://huggingface.co/microsoft/table-transformer-detection)).
 
 The model is finetuned from [Pix2Struct base model](https://huggingface.co/google/pix2struct-base) using a max_patch_length of 1024 and max generation length of 1024. The max_patch_length should likely not be changed for inference but the generation length can be changed.