Create README.md

README.md

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+```python
+import tempfile                                                                   
+                                                                                  
+from tokenizers import Tokenizer, models, processors                              
+from transformers.tokenization_utils_fast import PreTrainedTokenizerFast          
+                                                                                  
+vocab = [(chr(i), i) for i in range(256)]                                         
+tokenizer = Tokenizer(models.Unigram(vocab))                                      
+tokenizer.add_special_tokens(["<bos>", "<eos>"])                                  
+tokenizer.post_processor = processors.TemplateProcessing(                         
+    single="<bos> $0 <eos>", special_tokens=[("<bos>", 256), ("<eos>", 257)]      
+)                                                                                 
+with tempfile.NamedTemporaryFile() as f:                                          
+    tokenizer.save(f.name)                                                        
+    real_tokenizer = PreTrainedTokenizerFast(tokenizer_file=f.name, eos_token="<eos>", bos_token="<bos>")   
+                                                                                  
+real_tokenizer._tokenizer.save("dummy.json")     
+```