diff --git a/texthero/nlp.py b/texthero/nlp.py
index 748f0cd..9e8cfbe 100644
--- a/texthero/nlp.py
+++ b/texthero/nlp.py
@@ -4,10 +4,18 @@
 
 import spacy
 import pandas as pd
-import en_core_web_sm
 from nltk.stem import PorterStemmer, SnowballStemmer
 from texthero._types import TextSeries, InputSeries
 
+try:
+    # If not present, download 'en_core_web_sm'
+    import en_core_web_sm
+except ModuleNotFoundError:
+    from spacy.cli.download import download as spacy_download
+
+    spacy_download("en_core_web_sm")
+    import en_core_web_sm
+
 
 @InputSeries(TextSeries)
 def named_entities(s: TextSeries, package="spacy") -> pd.Series:
diff --git a/texthero/preprocessing.py b/texthero/preprocessing.py
index 27d42cc..f2c1984 100644
--- a/texthero/preprocessing.py
+++ b/texthero/preprocessing.py
@@ -329,6 +329,7 @@ def replace_stopwords(
 
     if stopwords is None:
         from texthero import stopwords as _stopwords
+
         stopwords = _stopwords.DEFAULT
     return s.apply(_replace_stopwords, args=(stopwords, symbol))
 
diff --git a/texthero/stopwords.py b/texthero/stopwords.py
index 379e222..d85a95e 100644
--- a/texthero/stopwords.py
+++ b/texthero/stopwords.py
@@ -8,15 +8,6 @@
     nltk.download("stopwords")
 
 from nltk.corpus import stopwords as nltk_en_stopwords
-
-try:
-    # If not present, download 'en_core_web_sm'
-    spacy_model = spacy.load("en_core_web_sm")
-except OSError:
-    from spacy.cli.download import download as spacy_download
-
-    spacy_download("en_core_web_sm")
-
 from spacy.lang.en import stop_words as spacy_en_stopwords
 
 DEFAULT = set(nltk_en_stopwords.words("english"))