Create README.md

README.md

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+```python
+from transformers import GPTNeoXForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("afterless/reverse-pythia-160m")
+model = GPTNeoXForCausalLM.from_pretrained("afterless/reverse-pythia-160m")
+
+inputs = tokenizer("but I told him, the cheese was the best", return_token_type_ids=False, return_tensors="pt")
+inputs['input_ids'] = t.flip(inputs.input_ids, (1,))
+tokens = t.flip(model.generate(**inputs), (1,))
+tokenizer.decode(tokens[0])
+```