Fix typos in code sample

README.md

@@ -35,17 +35,17 @@ Note that this model is primarily aimed at being fine-tuned on tasks that use th
 You can use this model directly for masked language modeling:
 
 ```python
-from transformers import AutoTokenizer, AutoModelforForMaskedLM
+from transformers import AutoTokenizer, AutoModelForForMaskedLM
 tokenizer = AutoTokenizer.from_pretrained("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
-mlm_model = AutoModelforForMaskedLM("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
+mlm_model = AutoModelForMaskedLM("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
 ```
 
 You can also fine-tune it for SequenceClassification, SequentialSentenceClassification, and MultipleChoice down-stream tasks:
 
 ```python
-from transformers import AutoTokenizer, AutoModelforSequenceClassification
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
-doc_classifier = AutoModelforSequenceClassification("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
+doc_classifier = AutoModelForSequenceClassification.from_pretrained("kiddothe2b/hierarchical-transformer-base-4096", trust_remote_code=True)
 ```
 
 ## Limitations and bias