fix typos/bugs

hubconfs/gpt2_hubconf.py

@@ -130,7 +130,7 @@ def gpt2LMHeadModel(*args, **kwargs):
 		>>> predicted_token = tokenizer.decode([predicted_index])
         >>> assert predicted_token == ' who'
     """
-    model = OpenAIGPTLMHeadModel.from_pretrained(*args, **kwargs)
+    model = GPT2LMHeadModel.from_pretrained(*args, **kwargs)
     return model
 
 
@@ -148,9 +148,9 @@ def gpt2DoubleHeadsModel(*args, **kwargs):
 
         #  Prepare tokenized input
 		>>> text = "Who was Jim Henson ?"
-        >>> indexed_tokens = tokenizer.encode(tokenized_text)
+        >>> indexed_tokens = tokenizer.encode(text)
         >>> tokens_tensor = torch.tensor([indexed_tokens])
-		>>> mc_token_ids = torch.LongTensor([ [len(tokenized_text)] ])
+		>>> mc_token_ids = torch.LongTensor([ [len(indexed_tokens)] ])
 
         # Load gpt2DoubleHeadsModel
         >>> model = torch.hub.load('huggingface/pytorch-pretrained-BERT', 'gpt2DoubleHeadsModel', 'gpt2')