Correct AutoConfig call docstrings (#10822)

hubconf.py

@@ -78,7 +78,7 @@ def model(*args, **kwargs):
             model = torch.hub.load('huggingface/transformers', 'model', 'bert-base-uncased', output_attentions=True)  # Update configuration during loading
             assert model.config.output_attentions == True
             # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             model = torch.hub.load('huggingface/transformers', 'model', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
 
         """
@@ -97,7 +97,7 @@ def modelWithLMHead(*args, **kwargs):
         model = torch.hub.load('huggingface/transformers', 'modelWithLMHead', 'bert-base-uncased', output_attentions=True)  # Update configuration during loading
         assert model.config.output_attentions == True
         # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-        config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+        config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
         model = torch.hub.load('huggingface/transformers', 'modelWithLMHead', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
 
     """
@@ -115,7 +115,7 @@ def modelForSequenceClassification(*args, **kwargs):
             model = torch.hub.load('huggingface/transformers', 'modelForSequenceClassification', 'bert-base-uncased', output_attentions=True)  # Update configuration during loading
             assert model.config.output_attentions == True
             # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             model = torch.hub.load('huggingface/transformers', 'modelForSequenceClassification', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
 
         """
@@ -134,7 +134,7 @@ def modelForQuestionAnswering(*args, **kwargs):
         model = torch.hub.load('huggingface/transformers', 'modelForQuestionAnswering', 'bert-base-uncased', output_attentions=True)  # Update configuration during loading
         assert model.config.output_attentions == True
         # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-        config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+        config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
         model = torch.hub.load('huggingface/transformers', 'modelForQuestionAnswering', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
 
     """

src/transformers/models/auto/modeling_auto.py

@@ -801,7 +801,7 @@ class AutoModel:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModel.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -895,7 +895,7 @@ class AutoModelForPreTraining:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForPreTraining.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1000,7 +1000,7 @@ class AutoModelWithLMHead:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelWithLMHead.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         warnings.warn(
@@ -1099,7 +1099,7 @@ class AutoModelForCausalLM:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/gpt2_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/gpt2_tf_model_config.json')
             >>> model = AutoModelForCausalLM.from_pretrained('./tf_model/gpt2_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1192,7 +1192,7 @@ class AutoModelForMaskedLM:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForMaskedLM.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1288,7 +1288,7 @@ class AutoModelForSeq2SeqLM:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/t5_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/t5_tf_model_config.json')
             >>> model = AutoModelForSeq2SeqLM.from_pretrained('./tf_model/t5_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1386,7 +1386,7 @@ class AutoModelForSequenceClassification:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForSequenceClassification.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1483,7 +1483,7 @@ class AutoModelForQuestionAnswering:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForQuestionAnswering.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1583,7 +1583,7 @@ class AutoModelForTableQuestionAnswering:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/tapas_tf_checkpoint.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/tapas_tf_checkpoint.json')
             >>> model = AutoModelForQuestionAnswering.from_pretrained('./tf_model/tapas_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1681,7 +1681,7 @@ class AutoModelForTokenClassification:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForTokenClassification.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1781,7 +1781,7 @@ class AutoModelForMultipleChoice:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForMultipleChoice.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1881,7 +1881,7 @@ class AutoModelForNextSentencePrediction:
             True
 
             >>> # Loading from a TF checkpoint file instead of a PyTorch model (slower)
-            >>> config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
             >>> model = AutoModelForNextSentencePrediction.from_pretrained('./tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
         """
         config = kwargs.pop("config", None)

src/transformers/models/auto/modeling_tf_auto.py

@@ -605,7 +605,7 @@ class TFAutoModel(object):
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModel.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -699,7 +699,7 @@ class TFAutoModelForPreTraining(object):
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForPreTraining.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -804,7 +804,7 @@ class TFAutoModelWithLMHead(object):
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelWithLMHead.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         warnings.warn(
@@ -904,7 +904,7 @@ class TFAutoModelForCausalLM:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/gpt2_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/gpt2_pt_model_config.json')
             >>> model = TFAutoModelForCausalLM.from_pretrained('./pt_model/gpt2_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -997,7 +997,7 @@ class TFAutoModelForMaskedLM:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForMaskedLM.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1093,7 +1093,7 @@ class TFAutoModelForSeq2SeqLM:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/t5_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/t5_pt_model_config.json')
             >>> model = TFAutoModelForSeq2SeqLM.from_pretrained('./pt_model/t5_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1191,7 +1191,7 @@ class TFAutoModelForSequenceClassification(object):
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForSequenceClassification.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1288,7 +1288,7 @@ class TFAutoModelForQuestionAnswering(object):
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForQuestionAnswering.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1384,7 +1384,7 @@ class TFAutoModelForTokenClassification:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForTokenClassification.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1482,7 +1482,7 @@ class TFAutoModelForMultipleChoice:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForMultipleChoice.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)
@@ -1580,7 +1580,7 @@ class TFAutoModelForNextSentencePrediction:
             True
 
             >>> # Loading from a PyTorch checkpoint file instead of a TensorFlow model (slower)
-            >>> config = AutoConfig.from_json_file('./pt_model/bert_pt_model_config.json')
+            >>> config = AutoConfig.from_pretrained('./pt_model/bert_pt_model_config.json')
             >>> model = TFAutoModelForNextSentencePrediction.from_pretrained('./pt_model/bert_pytorch_model.bin', from_pt=True, config=config)
         """
         config = kwargs.pop("config", None)