diff --git a/examples/community_lm/community_lm.ipynb b/examples/community_lm/community_lm.ipynb
index 4b36845..aa27aee 100644
--- a/examples/community_lm/community_lm.ipynb
+++ b/examples/community_lm/community_lm.ipynb
@@ -30,7 +30,7 @@
     "from community_lm_constants import politician_feelings, groups_feelings, anes_df\n",
     "from community_lm_utils import generate_community_opinion, compute_group_stance\n",
     "\n",
-    "device = 'mps'  # change to 'mps' if you have a mac, or 'cuda:0' if you have an NVIDIA GPU "
+    "device = 'cpu'  # change to 'mps' if you have a mac, or 'cuda:0' if you have an NVIDIA GPU "
    ]
   },
   {
@@ -384,7 +384,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.8"
   }
  },
  "nbformat": 4,
diff --git a/llments/lm/base/hugging_face.py b/llments/lm/base/hugging_face.py
index df04065..0cc5840 100644
--- a/llments/lm/base/hugging_face.py
+++ b/llments/lm/base/hugging_face.py
@@ -1,5 +1,4 @@
 from llments.lm.lm import LanguageModel
-from transformers import pipeline, set_seed, TextGenerationPipeline
 
 
 class HuggingFaceLM(LanguageModel):
@@ -14,6 +13,12 @@ def __init__(
             model: The name of the model.
             device: The device to run the model on.
         """
+        try:
+            from transformers import pipeline, set_seed, TextGenerationPipeline
+        except ImportError:
+            raise ImportError(
+                "You need to install the `transformers` package to use this class."
+            )
         self.text_generator: TextGenerationPipeline = pipeline(
             "text-generation", model=model, device=device
         )
diff --git a/pyproject.toml b/pyproject.toml
index 73b392d..d1a57d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,6 +19,7 @@ classifiers = [
 ]
 dependencies = [
     "pandas",
+    "tqdm",
 ]
 dynamic = ["version"]