diff --git a/fasttext_amazon_reviews/README.md b/fasttext_amazon_reviews/README.md
index e2426de..d0bc8e5 100644
--- a/fasttext_amazon_reviews/README.md
+++ b/fasttext_amazon_reviews/README.md
@@ -1,10 +1,6 @@
 # Training a Fasttext model on the amazon reviews dataset
 
-This example demonstrates the use of the following module below from cleanlab:
-
-- [cleanlab.models.fasttext.py](https://github.com/cleanlab/cleanlab/blob/master/cleanlab/models/fasttext.py)
-
-The code is adapted from cleanlab v1 examples (see `contrib/v1` folder).
+This example demonstrates how to wrap a Fasttext model to be sklearn-compatible for direct compatibility with `cleanlab.classification`.  The wrapper code is in **fasttext_wrapper.py** and the notebook demonstrates how to apply it to a text classification dataset.
 
 ## Instructions
 
@@ -20,4 +16,4 @@ Run bash script below to download all the data.
 $ bash ./download_data.sh
 ```
 
-Start Jupyter Lab and run the notebook: `fasttext_amazon_reviews.ipynb`
+Start Jupyter and run the notebook: `fasttext_amazon_reviews.ipynb`