Update README.md

README.md

@@ -34,8 +34,8 @@ model = AutoModel.from_pretrained("RaphaelMourad/Mistral-Codon-v1-16M", trust_re
 ## Calculate the embedding of a coding sequence
 
 ```
-insulin = "TGA TGA TTG GCG CGG CTA GGA TCG GCT"
-inputs = tokenizer(insulin, return_tensors = 'pt')["input_ids"]
+codon_dna = "TGA TGA TTG GCG CGG CTA GGA TCG GCT"
+inputs = tokenizer(codon_dna, return_tensors = 'pt')["input_ids"]
 hidden_states = model(inputs)[0] # [1, sequence_length, 256]
 
 # embedding with max pooling