diff --git a/README.md b/README.md
index 588c363..b982228 100644
--- a/README.md
+++ b/README.md
@@ -122,7 +122,7 @@ Alternatively, you can `rsdk push <path-to-your-file>` via CLI, given that you h
 
 ### Adapters
 
-#### 🤗 Hugging Face
+#### Hugging Face
 Transformers are great, but often times, you want to finetune them for your downstream task. With *refinery*, you can do so easily by letting the SDK build the dataset for you that you can use as a plug-and-play base for your training:
 
 ```python
@@ -179,7 +179,7 @@ trainer.save_model("path/to/model")
 You can use *refinery* to directly pull data into a format you can apply for building [sklearn](https://github.com/scikit-learn/scikit-learn) models. This can look as follows:
 
 ```python
-from refinery.adapter.embedders import build_classification_dataset
+from refinery.adapter.sklearn import build_classification_dataset
 from sklearn.tree import DecisionTreeClassifier
 
 data = build_classification_dataset(client, "headline", "__clickbait", "distilbert-base-uncased")