Update README.md

README.md

@@ -49,7 +49,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-This model can extract nutrient values from nutrition tables. This was developped as part of the Nutrisight project.
+This model can extract nutrient values from photos of food packaging containing nutrition information. This was developped as part of the Nutrisight project.
 
 For more information about the project, please refer to the [nutrisight](https://github.com/openfoodfacts/openfoodfacts-ai/tree/develop/nutrisight) directory in the openfoodfacts-ai GitHub repository.
 
@@ -57,9 +57,11 @@ As any model using the LayoutLM architecture, this model expects as input:
 
 - the image
 - the tokens (string) on the images
-- the 2D coordinates of each tokens
+- the 2D coordinates of each token
 
-The tokens and their 2D position is provided by an OCR model. This model was trained using OCR results coming from Google Cloud Vision.
+The tokens and their 2D positions is provided by an OCR model. This model was trained using OCR results coming from Google Cloud Vision.
+
+An ONNX export of the model can be found in the `onnx` directory.
 
 ## Intended uses & limitations