diff --git a/composer/datasets/utils.py b/composer/datasets/utils.py
index 431a860900..44186ac58e 100644
--- a/composer/datasets/utils.py
+++ b/composer/datasets/utils.py
@@ -179,7 +179,7 @@ class MultiTokenEOSCriteria(transformers.StoppingCriteria):
         def __init__(
             self,
             stop_sequence: str,
-            tokenizer: transformers.PreTrainedTokenizer,
+            tokenizer: Union[transformers.PreTrainedTokenizer, transformers.PreTrainedTokenizerFast],
             batch_size: int,
         ) -> None:
             self.done_tracker = [False] * batch_size
@@ -213,7 +213,7 @@ def __call__(self, input_ids, scores: Optional[torch.FloatTensor] = None, **kwar
             return False not in self.done_tracker
 
     def stop_sequences_criteria(
-        tokenizer: transformers.PreTrainedTokenizer,
+        tokenizer: Union[transformers.PreTrainedTokenizer, transformers.PreTrainedTokenizerFast],
         stop_sequences: List[str],
         batch_size: int,
     ) -> transformers.StoppingCriteriaList:
diff --git a/composer/trainer/trainer.py b/composer/trainer/trainer.py
index 9ebec6c373..2b9c9731a5 100644
--- a/composer/trainer/trainer.py
+++ b/composer/trainer/trainer.py
@@ -13,7 +13,6 @@
 import os
 import random
 import re
-#import sys
 import tempfile
 import textwrap
 import time
@@ -923,10 +922,6 @@ def __init__(
         # compile config for PyTorch 2.0 or higher
         compile_config: Optional[Dict[str, Any]] = None,
     ):
-        
-        # Check if the current Python version is compatible
-        # major, minor = sys.version_info[0], sys.version_info[1]
-        # assert (major == 3 and minor <= 8) or (major < 3), f"Python version {major}.{minor} is not supported. Please use Python 3.9 or higher."
 
         self.auto_log_hparams = auto_log_hparams
         self.python_log_level = python_log_level
diff --git a/tests/datasets/test_in_context_learning_datasets.py b/tests/datasets/test_in_context_learning_datasets.py
index ec7df306d6..2a3ff87884 100644
--- a/tests/datasets/test_in_context_learning_datasets.py
+++ b/tests/datasets/test_in_context_learning_datasets.py
@@ -73,13 +73,13 @@ def test_stop_sequences_criteria(tiny_gpt2_tokenizer):
     seq1 = tiny_gpt2_tokenizer('Dogs are furry')['input_ids']
     seq2 = tiny_gpt2_tokenizer('Dogs are furry\n\n')['input_ids']
     seq1 = [50257] * (len(seq2) - len(seq1)) + seq1
-    input_ids = torch.tensor([seq1, seq2])
+    input_ids = torch.LongTensor([seq1, seq2])
     assert not eos_criteria(input_ids, None)
 
     eos_criteria = MultiTokenEOSCriteria('\n\n', tiny_gpt2_tokenizer, 2)
     seq1 = tiny_gpt2_tokenizer('Dogs are furry\n\n')['input_ids']
     seq2 = tiny_gpt2_tokenizer('Dogs are furry\n\n')['input_ids']
-    input_ids = torch.tensor([seq1, seq2])
+    input_ids = torch.LongTensor([seq1, seq2])
     assert eos_criteria(input_ids, None)