diff --git a/src/NERDA/predictions.py b/src/NERDA/predictions.py
index 14dd557..c5045fb 100644
--- a/src/NERDA/predictions.py
+++ b/src/NERDA/predictions.py
@@ -6,12 +6,20 @@
 from .preprocessing import create_dataloader
 import torch
 import numpy as np
-from tqdm import tqdm 
 from nltk.tokenize import sent_tokenize, word_tokenize
 from typing import List, Callable
 import transformers
 import sklearn.preprocessing
 
+try:
+  from IPython import get_ipython
+  if 'IPKernelApp' in get_ipython().config:
+    from tqdm.notebook import tqdm
+  else:
+    from tqdm import tqdm
+except:
+  from tqdm import tqdm
+
 def predict(network: torch.nn.Module, 
             sentences: List[List[str]],
             transformer_tokenizer: transformers.PreTrainedTokenizer,
diff --git a/src/NERDA/training.py b/src/NERDA/training.py
index 7c52c37..34d4a78 100644
--- a/src/NERDA/training.py
+++ b/src/NERDA/training.py
@@ -4,7 +4,15 @@
 from transformers import AdamW, get_linear_schedule_with_warmup
 import random
 import torch
-from tqdm import tqdm
+
+try:
+  from IPython import get_ipython
+  if 'IPKernelApp' in get_ipython().config:
+    from tqdm.notebook import tqdm
+  else:
+    from tqdm import tqdm
+except:
+  from tqdm import tqdm
 
 def train(model, data_loader, optimizer, device, scheduler, n_tags):
     """One Iteration of Training"""