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Merged
itazap merged 2 commits into from
Feb 18, 2026
+3 −8
Merged

AutoTokenizer ignores config when model_type is None #44127

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bbf78d5
AutoTokenizer ignores config when model_type is None
itazap Feb 18, 2026
af9d764
update tests
itazap Feb 18, 2026
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3 changes: 2 additions & 1 deletion src/transformers/models/auto/tokenization_auto.py
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Original file line number Diff line number Diff line change
Expand Up @@ -649,7 +649,8 @@ def from_pretrained(
and tokenizer_config_class is not None
and config_model_type is not None
and config_model_type != ""
and TOKENIZER_MAPPING_NAMES.get(config_model_type, "").replace("Fast", "")
and TOKENIZER_MAPPING_NAMES.get(config_model_type) is not None
and TOKENIZER_MAPPING_NAMES.get(config_model_type).replace("Fast", "")
!= tokenizer_config_class.replace("Fast", "")
):
# new model, but we ignore it unless the model type is the same
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2 changes: 1 addition & 1 deletion tests/models/aria/test_processing_aria.py
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Expand Up @@ -149,7 +149,7 @@ def test_process_interleaved_images_prompts_no_image_splitting(self):
# Pad the first input to match the second input
pad_len = len(expected_input_ids_2) - len(expected_input_ids_1)

expected_attention_mask = [ [1] * len(expected_input_ids_1) + [0] * pad_len, [1] * (len(expected_input_ids_2))]
expected_attention_mask = [ [0] * pad_len + [1] * len(expected_input_ids_1), [1] * (len(expected_input_ids_2))]

self.assertEqual(
inputs["attention_mask"],
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6 changes: 0 additions & 6 deletions tests/models/auto/test_tokenization_auto.py
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Expand Up @@ -621,15 +621,9 @@ def test_tokenization_class_priority(self):
tok2 = AutoTokenizer.from_pretrained(tmp_dir)
self.assertTrue(tok2.__class__ == HerbertTokenizer)

tok = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM2-135M-Instruct")
self.assertTrue(tok.__class__ == TokenizersBackend)

tok = AutoProcessor.from_pretrained("mistralai/Ministral-3-8B-Instruct-2512-BF16").tokenizer
self.assertTrue(tok.__class__ == TokenizersBackend)

tok = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM2-135M-Instruct")
self.assertTrue(tok.__class__ == TokenizersBackend)

def test_custom_tokenizer_with_mismatched_tokenizer_class(self):
nop_tokenizer_code = """
import transformers
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