diff --git a/examples/pytorch/token-classification/run_ner.py b/examples/pytorch/token-classification/run_ner.py
index 9000b5006e0..a272f25aa41 100755
--- a/examples/pytorch/token-classification/run_ner.py
+++ b/examples/pytorch/token-classification/run_ner.py
@@ -348,7 +348,7 @@ def main():
     )
 
     tokenizer_name_or_path = model_args.tokenizer_name if model_args.tokenizer_name else model_args.model_name_or_path
-    if config.model_type in {"gpt2", "roberta"}:
+    if config.model_type in {"bloom", "gpt2", "roberta"}:
         tokenizer = AutoTokenizer.from_pretrained(
             tokenizer_name_or_path,
             cache_dir=model_args.cache_dir,
diff --git a/examples/pytorch/token-classification/run_ner_no_trainer.py b/examples/pytorch/token-classification/run_ner_no_trainer.py
index f5736f35c79..937abb718e7 100755
--- a/examples/pytorch/token-classification/run_ner_no_trainer.py
+++ b/examples/pytorch/token-classification/run_ner_no_trainer.py
@@ -398,7 +398,7 @@ def main():
             "You can do it from another script, save it, and load it from here, using --tokenizer_name."
         )
 
-    if config.model_type in {"gpt2", "roberta"}:
+    if config.model_type in {"bloom", "gpt2", "roberta"}:
         tokenizer = AutoTokenizer.from_pretrained(tokenizer_name_or_path, use_fast=True, add_prefix_space=True)
     else:
         tokenizer = AutoTokenizer.from_pretrained(tokenizer_name_or_path, use_fast=True)