Typo "UNKWOWN" -> "UNKNOWN" (#13675)

src/transformers/testing_utils.py

@@ -55,7 +55,7 @@ from .integrations import is_optuna_available, is_ray_available
 
 
 SMALL_MODEL_IDENTIFIER = "julien-c/bert-xsmall-dummy"
-DUMMY_UNKWOWN_IDENTIFIER = "julien-c/dummy-unknown"
+DUMMY_UNKNOWN_IDENTIFIER = "julien-c/dummy-unknown"
 DUMMY_DIFF_TOKENIZER_IDENTIFIER = "julien-c/dummy-diff-tokenizer"
 # Used to test Auto{Config, Model, Tokenizer} model_type detection.
 

tests/test_configuration_auto.py

@@ -19,7 +19,7 @@ import unittest
 from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
 from transformers.models.bert.configuration_bert import BertConfig
 from transformers.models.roberta.configuration_roberta import RobertaConfig
-from transformers.testing_utils import DUMMY_UNKWOWN_IDENTIFIER
+from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER
 
 
 SAMPLE_ROBERTA_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")
@@ -35,7 +35,7 @@ class AutoConfigTest(unittest.TestCase):
         self.assertIsInstance(config, RobertaConfig)
 
     def test_config_model_type_from_model_identifier(self):
-        config = AutoConfig.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
+        config = AutoConfig.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
         self.assertIsInstance(config, RobertaConfig)
 
     def test_config_for_model_str(self):

tests/test_file_utils.py

@@ -21,10 +21,10 @@ import transformers
 # Try to import everything from transformers to ensure every object can be loaded.
 from transformers import *  # noqa F406
 from transformers.file_utils import CONFIG_NAME, WEIGHTS_NAME, filename_to_url, get_from_cache, hf_bucket_url
-from transformers.testing_utils import DUMMY_UNKWOWN_IDENTIFIER
+from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER
 
 
-MODEL_ID = DUMMY_UNKWOWN_IDENTIFIER
+MODEL_ID = DUMMY_UNKNOWN_IDENTIFIER
 # An actual model hosted on huggingface.co
 
 REVISION_ID_DEFAULT = "main"

tests/test_modeling_auto.py

@@ -20,7 +20,7 @@ import unittest
 
 from transformers import is_torch_available
 from transformers.testing_utils import (
-    DUMMY_UNKWOWN_IDENTIFIER,
+    DUMMY_UNKNOWN_IDENTIFIER,
     SMALL_MODEL_IDENTIFIER,
     require_scatter,
     require_torch,
@@ -261,7 +261,7 @@ class AutoModelTest(unittest.TestCase):
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)
 
     def test_from_identifier_from_model_type(self):
-        model = AutoModelWithLMHead.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
+        model = AutoModelWithLMHead.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
         self.assertIsInstance(model, RobertaForMaskedLM)
         self.assertEqual(model.num_parameters(), 14410)
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)

tests/test_modeling_tf_auto.py

@@ -18,7 +18,7 @@ import tempfile
 import unittest
 
 from transformers import is_tf_available
-from transformers.testing_utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, require_tf, slow
+from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, require_tf, slow
 
 
 if is_tf_available():
@@ -174,7 +174,7 @@ class TFAutoModelTest(unittest.TestCase):
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)
 
     def test_from_identifier_from_model_type(self):
-        model = TFAutoModelWithLMHead.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
+        model = TFAutoModelWithLMHead.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
         self.assertIsInstance(model, TFRobertaForMaskedLM)
         self.assertEqual(model.num_parameters(), 14410)
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)

tests/test_modeling_tf_pytorch.py

@@ -17,7 +17,7 @@
 import unittest
 
 from transformers import is_tf_available, is_torch_available
-from transformers.testing_utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, is_pt_tf_cross_test, slow
+from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, is_pt_tf_cross_test, slow
 
 
 if is_tf_available():
@@ -232,12 +232,12 @@ class TFPTAutoModelTest(unittest.TestCase):
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)
 
     def test_from_identifier_from_model_type(self):
-        model = TFAutoModelWithLMHead.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER, from_pt=True)
+        model = TFAutoModelWithLMHead.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, from_pt=True)
         self.assertIsInstance(model, TFRobertaForMaskedLM)
         self.assertEqual(model.num_parameters(), 14410)
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)
 
-        model = AutoModelWithLMHead.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER, from_tf=True)
+        model = AutoModelWithLMHead.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, from_tf=True)
         self.assertIsInstance(model, RobertaForMaskedLM)
         self.assertEqual(model.num_parameters(), 14410)
         self.assertEqual(model.num_parameters(only_trainable=True), 14410)

tests/test_tokenization_auto.py

@@ -38,7 +38,7 @@ from transformers.models.auto.tokenization_auto import (
 from transformers.models.roberta.configuration_roberta import RobertaConfig
 from transformers.testing_utils import (
     DUMMY_DIFF_TOKENIZER_IDENTIFIER,
-    DUMMY_UNKWOWN_IDENTIFIER,
+    DUMMY_UNKNOWN_IDENTIFIER,
     SMALL_MODEL_IDENTIFIER,
     require_tokenizers,
     slow,
@@ -66,7 +66,7 @@ class AutoTokenizerTest(unittest.TestCase):
         self.assertEqual(tokenizer.vocab_size, 12)
 
     def test_tokenizer_from_model_type(self):
-        tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
+        tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER)
         self.assertIsInstance(tokenizer, (RobertaTokenizer, RobertaTokenizerFast))
         self.assertEqual(tokenizer.vocab_size, 20)