Update README.md

README.md

@@ -25,10 +25,8 @@ Molecule generation example:
 >>> model = BartForConditionalGeneration.from_pretrained("zjunlp/MolGen", use_auth_token=True)
 
 >>> sf_input = tokenizer("[C][=C][C][=C][C][=C][Ring1][=Branch1]", return_tensors="pt")
-
 >>> # beam search
 >>> molecules = model.generate(input_ids=sf_input["input_ids"],attention_mask=sf_input["attention_mask"],max_length=20,min_length=5,num_return_sequences=5,num_beams=5,past_prompt=None)
-
 >>> sf_output = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True).replace(" ","") for g in molecules]
 ['[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]']
 ```