Better logic for getting tokenizer config in AutoTokenizer (#14906)

* Better logic for getting tokenizer config in AutoTokenizer

* Remove needless import

* Remove debug statement

* Address review comments

src/transformers/file_utils.py

@@ -50,6 +50,7 @@ from tqdm.auto import tqdm
 import requests
 from filelock import FileLock
 from huggingface_hub import HfFolder, Repository, create_repo, list_repo_files, whoami
+from requests.exceptions import HTTPError
 from transformers.utils.versions import importlib_metadata
 
 from . import __version__
@@ -2100,7 +2101,13 @@ def get_list_of_files(
         token = HfFolder.get_token()
     else:
         token = None
-    return list_repo_files(path_or_repo, revision=revision, token=token)
+
+    try:
+        return list_repo_files(path_or_repo, revision=revision, token=token)
+    except HTTPError as e:
+        raise ValueError(
+            f"{path_or_repo} is not a local path or a model identifier on the model Hub. Did you make a typo?"
+        ) from e
 
 
 class cached_property(property):

src/transformers/models/auto/tokenization_auto.py

@@ -18,11 +18,13 @@ import importlib
 import json
 import os
 from collections import OrderedDict
+from pathlib import Path
 from typing import TYPE_CHECKING, Dict, Optional, Tuple, Union
 
 from ...configuration_utils import PretrainedConfig
 from ...file_utils import (
     cached_path,
+    get_list_of_files,
     hf_bucket_url,
     is_offline_mode,
     is_sentencepiece_available,
@@ -330,6 +332,16 @@ def get_tokenizer_config(
         logger.info("Offline mode: forcing local_files_only=True")
         local_files_only = True
 
+    # Will raise a ValueError if `pretrained_model_name_or_path` is not a valid path or model identifier
+    repo_files = get_list_of_files(
+        pretrained_model_name_or_path,
+        revision=revision,
+        use_auth_token=use_auth_token,
+        local_files_only=local_files_only,
+    )
+    if TOKENIZER_CONFIG_FILE not in [Path(f).name for f in repo_files]:
+        return {}
+
     pretrained_model_name_or_path = str(pretrained_model_name_or_path)
     if os.path.isdir(pretrained_model_name_or_path):
         config_file = os.path.join(pretrained_model_name_or_path, TOKENIZER_CONFIG_FILE)
@@ -350,7 +362,7 @@ def get_tokenizer_config(
             use_auth_token=use_auth_token,
         )
 
-    except (EnvironmentError, ValueError):
+    except EnvironmentError:
         logger.info("Could not locate the tokenizer configuration file, will try to use the model config instead.")
         return {}
 

tests/test_tokenization_auto.py

@@ -149,7 +149,9 @@ class AutoTokenizerTest(unittest.TestCase):
     @require_tokenizers
     def test_tokenizer_identifier_non_existent(self):
         for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
-            with self.assertRaises(EnvironmentError):
+            with self.assertRaisesRegex(
+                ValueError, ".*is not a local path or a model identifier on the model Hub. Did you make a typo?"
+            ):
                 _ = tokenizer_class.from_pretrained("julien-c/herlolip-not-exists")
 
     def test_parents_and_children_in_mappings(self):