Remove-auth-token (#27060)

* don't use `use_auth_token`internally

* let's use token everywhere

* fixup

tests/sagemaker/scripts/pytorch/run_glue_model_parallelism.py

@@ -314,14 +314,14 @@ def main():
         finetuning_task=data_args.task_name,
         cache_dir=model_args.cache_dir,
         revision=model_args.model_revision,
-        use_auth_token=True if model_args.use_auth_token else None,
+        token=True if model_args.use_auth_token else None,
     )
     tokenizer = AutoTokenizer.from_pretrained(
         model_args.tokenizer_name if model_args.tokenizer_name else model_args.model_name_or_path,
         cache_dir=model_args.cache_dir,
         use_fast=model_args.use_fast_tokenizer,
         revision=model_args.model_revision,
-        use_auth_token=True if model_args.use_auth_token else None,
+        token=True if model_args.use_auth_token else None,
     )
     model = AutoModelForSequenceClassification.from_pretrained(
         model_args.model_name_or_path,
@@ -329,7 +329,7 @@ def main():
         config=config,
         cache_dir=model_args.cache_dir,
         revision=model_args.model_revision,
-        use_auth_token=True if model_args.use_auth_token else None,
+        token=True if model_args.use_auth_token else None,
     )
 
     # Preprocessing the datasets

tests/test_configuration_utils.py

@@ -142,7 +142,7 @@ class ConfigPushToHubTester(unittest.TestCase):
         config = BertConfig(
             vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
         )
-        config.push_to_hub("valid_org/test-config-org", use_auth_token=self._token)
+        config.push_to_hub("valid_org/test-config-org", token=self._token)
 
         new_config = BertConfig.from_pretrained("valid_org/test-config-org")
         for k, v in config.to_dict().items():
@@ -154,9 +154,7 @@ class ConfigPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            config.save_pretrained(
-                tmp_dir, repo_id="valid_org/test-config-org", push_to_hub=True, use_auth_token=self._token
-            )
+            config.save_pretrained(tmp_dir, repo_id="valid_org/test-config-org", push_to_hub=True, token=self._token)
 
         new_config = BertConfig.from_pretrained("valid_org/test-config-org")
         for k, v in config.to_dict().items():
@@ -167,7 +165,7 @@ class ConfigPushToHubTester(unittest.TestCase):
         CustomConfig.register_for_auto_class()
         config = CustomConfig(attribute=42)
 
-        config.push_to_hub("test-dynamic-config", use_auth_token=self._token)
+        config.push_to_hub("test-dynamic-config", token=self._token)
 
         # This has added the proper auto_map field to the config
         self.assertDictEqual(config.auto_map, {"AutoConfig": "custom_configuration.CustomConfig"})

tests/test_feature_extraction_utils.py

@@ -85,7 +85,7 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
 
     def test_push_to_hub(self):
         feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
-        feature_extractor.push_to_hub("test-feature-extractor", use_auth_token=self._token)
+        feature_extractor.push_to_hub("test-feature-extractor", token=self._token)
 
         new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
         for k, v in feature_extractor.__dict__.items():
@@ -97,7 +97,7 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             feature_extractor.save_pretrained(
-                tmp_dir, repo_id="test-feature-extractor", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="test-feature-extractor", push_to_hub=True, token=self._token
             )
 
         new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor")
@@ -106,7 +106,7 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
 
     def test_push_to_hub_in_organization(self):
         feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
-        feature_extractor.push_to_hub("valid_org/test-feature-extractor", use_auth_token=self._token)
+        feature_extractor.push_to_hub("valid_org/test-feature-extractor", token=self._token)
 
         new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor")
         for k, v in feature_extractor.__dict__.items():
@@ -118,7 +118,7 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             feature_extractor.save_pretrained(
-                tmp_dir, repo_id="valid_org/test-feature-extractor-org", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="valid_org/test-feature-extractor-org", push_to_hub=True, token=self._token
             )
 
         new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("valid_org/test-feature-extractor-org")
@@ -129,7 +129,7 @@ class FeatureExtractorPushToHubTester(unittest.TestCase):
         CustomFeatureExtractor.register_for_auto_class()
         feature_extractor = CustomFeatureExtractor.from_pretrained(SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR)
 
-        feature_extractor.push_to_hub("test-dynamic-feature-extractor", use_auth_token=self._token)
+        feature_extractor.push_to_hub("test-dynamic-feature-extractor", token=self._token)
 
         # This has added the proper auto_map field to the config
         self.assertDictEqual(

tests/test_image_processing_utils.py

@@ -95,7 +95,7 @@ class ImageProcessorPushToHubTester(unittest.TestCase):
 
     def test_push_to_hub(self):
         image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
-        image_processor.push_to_hub("test-image-processor", use_auth_token=self._token)
+        image_processor.push_to_hub("test-image-processor", token=self._token)
 
         new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
         for k, v in image_processor.__dict__.items():
@@ -107,7 +107,7 @@ class ImageProcessorPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             image_processor.save_pretrained(
-                tmp_dir, repo_id="test-image-processor", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="test-image-processor", push_to_hub=True, token=self._token
             )
 
         new_image_processor = ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
@@ -116,7 +116,7 @@ class ImageProcessorPushToHubTester(unittest.TestCase):
 
     def test_push_to_hub_in_organization(self):
         image_processor = ViTImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
-        image_processor.push_to_hub("valid_org/test-image-processor", use_auth_token=self._token)
+        image_processor.push_to_hub("valid_org/test-image-processor", token=self._token)
 
         new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
         for k, v in image_processor.__dict__.items():
@@ -128,7 +128,7 @@ class ImageProcessorPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             image_processor.save_pretrained(
-                tmp_dir, repo_id="valid_org/test-image-processor-org", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="valid_org/test-image-processor-org", push_to_hub=True, token=self._token
             )
 
         new_image_processor = ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
@@ -139,7 +139,7 @@ class ImageProcessorPushToHubTester(unittest.TestCase):
         CustomImageProcessor.register_for_auto_class()
         image_processor = CustomImageProcessor.from_pretrained(SAMPLE_IMAGE_PROCESSING_CONFIG_DIR)
 
-        image_processor.push_to_hub("test-dynamic-image-processor", use_auth_token=self._token)
+        image_processor.push_to_hub("test-dynamic-image-processor", token=self._token)
 
         # This has added the proper auto_map field to the config
         self.assertDictEqual(

tests/test_modeling_flax_utils.py

@@ -60,7 +60,7 @@ class FlaxModelPushToHubTester(unittest.TestCase):
             vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
         )
         model = FlaxBertModel(config)
-        model.push_to_hub("test-model-flax", use_auth_token=self._token)
+        model.push_to_hub("test-model-flax", token=self._token)
 
         new_model = FlaxBertModel.from_pretrained(f"{USER}/test-model-flax")
 
@@ -76,7 +76,7 @@ class FlaxModelPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            model.save_pretrained(tmp_dir, repo_id="test-model-flax", push_to_hub=True, use_auth_token=self._token)
+            model.save_pretrained(tmp_dir, repo_id="test-model-flax", push_to_hub=True, token=self._token)
 
         new_model = FlaxBertModel.from_pretrained(f"{USER}/test-model-flax")
 
@@ -92,7 +92,7 @@ class FlaxModelPushToHubTester(unittest.TestCase):
             vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
         )
         model = FlaxBertModel(config)
-        model.push_to_hub("valid_org/test-model-flax-org", use_auth_token=self._token)
+        model.push_to_hub("valid_org/test-model-flax-org", token=self._token)
 
         new_model = FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")
 
@@ -109,7 +109,7 @@ class FlaxModelPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             model.save_pretrained(
-                tmp_dir, repo_id="valid_org/test-model-flax-org", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="valid_org/test-model-flax-org", push_to_hub=True, token=self._token
             )
 
         new_model = FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")

tests/test_modeling_tf_utils.py

@@ -572,7 +572,7 @@ class TFModelPushToHubTester(unittest.TestCase):
         logging.set_verbosity_info()
         logger = logging.get_logger("transformers.utils.hub")
         with CaptureLogger(logger) as cl:
-            model.push_to_hub("test-model-tf", use_auth_token=self._token)
+            model.push_to_hub("test-model-tf", token=self._token)
         logging.set_verbosity_warning()
         # Check the model card was created and uploaded.
         self.assertIn("Uploading the following files to __DUMMY_TRANSFORMERS_USER__/test-model-tf", cl.out)
@@ -590,7 +590,7 @@ class TFModelPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            model.save_pretrained(tmp_dir, repo_id="test-model-tf", push_to_hub=True, use_auth_token=self._token)
+            model.save_pretrained(tmp_dir, repo_id="test-model-tf", push_to_hub=True, token=self._token)
 
         new_model = TFBertModel.from_pretrained(f"{USER}/test-model-tf")
         models_equal = True
@@ -638,7 +638,7 @@ class TFModelPushToHubTester(unittest.TestCase):
         # Make sure model is properly initialized
         model.build()
 
-        model.push_to_hub("valid_org/test-model-tf-org", use_auth_token=self._token)
+        model.push_to_hub("valid_org/test-model-tf-org", token=self._token)
 
         new_model = TFBertModel.from_pretrained("valid_org/test-model-tf-org")
         models_equal = True
@@ -653,9 +653,7 @@ class TFModelPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            model.save_pretrained(
-                tmp_dir, push_to_hub=True, use_auth_token=self._token, repo_id="valid_org/test-model-tf-org"
-            )
+            model.save_pretrained(tmp_dir, push_to_hub=True, token=self._token, repo_id="valid_org/test-model-tf-org")
 
         new_model = TFBertModel.from_pretrained("valid_org/test-model-tf-org")
         models_equal = True

tests/test_modeling_utils.py

@@ -1162,7 +1162,7 @@ class ModelPushToHubTester(unittest.TestCase):
             vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
         )
         model = BertModel(config)
-        model.push_to_hub("test-model", use_auth_token=self._token)
+        model.push_to_hub("test-model", token=self._token)
 
         new_model = BertModel.from_pretrained(f"{USER}/test-model")
         for p1, p2 in zip(model.parameters(), new_model.parameters()):
@@ -1173,7 +1173,7 @@ class ModelPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            model.save_pretrained(tmp_dir, repo_id="test-model", push_to_hub=True, use_auth_token=self._token)
+            model.save_pretrained(tmp_dir, repo_id="test-model", push_to_hub=True, token=self._token)
 
         new_model = BertModel.from_pretrained(f"{USER}/test-model")
         for p1, p2 in zip(model.parameters(), new_model.parameters()):
@@ -1202,7 +1202,7 @@ The commit description supports markdown synthax see:
             vocab_size=99, hidden_size=32, num_hidden_layers=5, num_attention_heads=4, intermediate_size=37
         )
         model = BertModel(config)
-        model.push_to_hub("valid_org/test-model-org", use_auth_token=self._token)
+        model.push_to_hub("valid_org/test-model-org", token=self._token)
 
         new_model = BertModel.from_pretrained("valid_org/test-model-org")
         for p1, p2 in zip(model.parameters(), new_model.parameters()):
@@ -1213,9 +1213,7 @@ The commit description supports markdown synthax see:
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            model.save_pretrained(
-                tmp_dir, push_to_hub=True, use_auth_token=self._token, repo_id="valid_org/test-model-org"
-            )
+            model.save_pretrained(tmp_dir, push_to_hub=True, token=self._token, repo_id="valid_org/test-model-org")
 
         new_model = BertModel.from_pretrained("valid_org/test-model-org")
         for p1, p2 in zip(model.parameters(), new_model.parameters()):
@@ -1228,7 +1226,7 @@ The commit description supports markdown synthax see:
         config = CustomConfig(hidden_size=32)
         model = CustomModel(config)
 
-        model.push_to_hub("test-dynamic-model", use_auth_token=self._token)
+        model.push_to_hub("test-dynamic-model", token=self._token)
         # checks
         self.assertDictEqual(
             config.auto_map,

tests/test_tokenization_utils.py

@@ -146,7 +146,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
                 vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]))
             tokenizer = BertTokenizer(vocab_file)
 
-        tokenizer.push_to_hub("test-tokenizer", use_auth_token=self._token)
+        tokenizer.push_to_hub("test-tokenizer", token=self._token)
         new_tokenizer = BertTokenizer.from_pretrained(f"{USER}/test-tokenizer")
         self.assertDictEqual(new_tokenizer.vocab, tokenizer.vocab)
 
@@ -155,7 +155,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
 
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
-            tokenizer.save_pretrained(tmp_dir, repo_id="test-tokenizer", push_to_hub=True, use_auth_token=self._token)
+            tokenizer.save_pretrained(tmp_dir, repo_id="test-tokenizer", push_to_hub=True, token=self._token)
 
         new_tokenizer = BertTokenizer.from_pretrained(f"{USER}/test-tokenizer")
         self.assertDictEqual(new_tokenizer.vocab, tokenizer.vocab)
@@ -167,7 +167,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
                 vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]))
             tokenizer = BertTokenizer(vocab_file)
 
-        tokenizer.push_to_hub("valid_org/test-tokenizer-org", use_auth_token=self._token)
+        tokenizer.push_to_hub("valid_org/test-tokenizer-org", token=self._token)
         new_tokenizer = BertTokenizer.from_pretrained("valid_org/test-tokenizer-org")
         self.assertDictEqual(new_tokenizer.vocab, tokenizer.vocab)
 
@@ -177,7 +177,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
         # Push to hub via save_pretrained
         with tempfile.TemporaryDirectory() as tmp_dir:
             tokenizer.save_pretrained(
-                tmp_dir, repo_id="valid_org/test-tokenizer-org", push_to_hub=True, use_auth_token=self._token
+                tmp_dir, repo_id="valid_org/test-tokenizer-org", push_to_hub=True, token=self._token
             )
 
         new_tokenizer = BertTokenizer.from_pretrained("valid_org/test-tokenizer-org")
@@ -193,7 +193,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
             tokenizer = CustomTokenizer(vocab_file)
 
         # No fast custom tokenizer
-        tokenizer.push_to_hub("test-dynamic-tokenizer", use_auth_token=self._token)
+        tokenizer.push_to_hub("test-dynamic-tokenizer", token=self._token)
 
         tokenizer = AutoTokenizer.from_pretrained(f"{USER}/test-dynamic-tokenizer", trust_remote_code=True)
         # Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
@@ -210,7 +210,7 @@ class TokenizerPushToHubTester(unittest.TestCase):
             bert_tokenizer.save_pretrained(tmp_dir)
             tokenizer = CustomTokenizerFast.from_pretrained(tmp_dir)
 
-        tokenizer.push_to_hub("test-dynamic-tokenizer", use_auth_token=self._token)
+        tokenizer.push_to_hub("test-dynamic-tokenizer", token=self._token)
 
         tokenizer = AutoTokenizer.from_pretrained(f"{USER}/test-dynamic-tokenizer", trust_remote_code=True)
         # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module

tests/utils/test_hub_utils.py

@@ -132,10 +132,10 @@ class GetFromCacheTests(unittest.TestCase):
         """Test download file from a gated repo fails with correct message when not authenticated."""
         with self.assertRaisesRegex(EnvironmentError, "You are trying to access a gated repo."):
             # All files except README.md are protected on a gated repo.
-            cached_file(GATED_REPO, "gated_file.txt", use_auth_token=False)
+            cached_file(GATED_REPO, "gated_file.txt", token=False)
 
     def test_has_file_gated_repo(self):
         """Test check file existence from a gated repo fails with correct message when not authenticated."""
         with self.assertRaisesRegex(EnvironmentError, "is a gated repository"):
             # All files except README.md are protected on a gated repo.
-            has_file(GATED_REPO, "gated_file.txt", use_auth_token=False)
+            has_file(GATED_REPO, "gated_file.txt", token=False)