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Update README.md

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@@ -27,12 +27,12 @@ Molecule generation example:
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  >>> sf_input = tokenizer("[C][=C][C][=C][C][=C][Ring1][=Branch1]", return_tensors="pt")
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  >>> # beam search
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  >>> molecules = model.generate(input_ids=sf_input["input_ids"],
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- attention_mask=sf_input["attention_mask"],
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- max_length=20,
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- min_length=5,
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- num_return_sequences=5,
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- num_beams=5,
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- past_prompt=None)
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  >>> sf_output = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True).replace(" ","") for g in molecules]
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  ['[C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C@H1][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C@H1][=C][C][=C][Ring1][=Branch1]']
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  ```
 
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  >>> sf_input = tokenizer("[C][=C][C][=C][C][=C][Ring1][=Branch1]", return_tensors="pt")
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  >>> # beam search
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  >>> molecules = model.generate(input_ids=sf_input["input_ids"],
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+ attention_mask=sf_input["attention_mask"],
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+ max_length=20,
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+ min_length=5,
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+ num_return_sequences=5,
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+ num_beams=5,
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+ past_prompt=None)
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  >>> sf_output = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True).replace(" ","") for g in molecules]
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  ['[C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C@H1][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C][=C][C][=C][C][=C][Ring1][=Branch1]', '[C][=C][C][=C][C][=C][Ring1][=Branch1][C@H1][=C][C][=C][Ring1][=Branch1]']
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  ```