Update README.md

README.md

@@ -33,8 +33,8 @@ model = AutoModel.from_pretrained("RaphaelMourad/Mistral-DNA-v1-17M-hg38", trust
 ## Calculate the embedding of a protein sequence
 
 ```
-insulin = "TGATGATTGGCGCGGCTAGGATCGGCT"
-inputs = tokenizer(insulin, return_tensors = 'pt')["input_ids"]
+dna = "TGATGATTGGCGCGGCTAGGATCGGCT"
+inputs = tokenizer(dna, return_tensors = 'pt')["input_ids"]
 hidden_states = model(inputs)[0] # [1, sequence_length, 256]
 
 # embedding with max pooling