Update README.md

README.md

@@ -31,9 +31,9 @@ agro_nt_tokenizer = AutoTokenizer.from_pretrained(f'InstaDeepAI/{model_name}')
 print(f"Loaded the {model_name} model with {agro_nt_model.num_parameters()} parameters and corresponding tokenizer.")
 
 # example sequence and tokenization
-sequences = ['ATATACGGCCGNC']
+sequences = ['ATATACGGCCGNC','GGGTATCGCTTCCGAC']
 
-batch_tokens = agro_nt_tokenizer(sequences)['input_ids']
+batch_tokens = agro_nt_tokenizer(sequences,padding="longest")['input_ids']
 print(f"Tokenzied sequence: {agro_nt_tokenizer.batch_decode(batch_tokens)}")
 
 torch_batch_tokens = torch.tensor(batch_tokens)