Update README.md

README.md

@@ -23,7 +23,7 @@ with torch.no_grad():
 as_lists = lambda batch: [batch[i, ...].detach().cpu().numpy().tolist() for i in range(batch.shape[0])]
 sequences = tokenizer.decode_batch(as_lists(tokens_batch))
 ```
-Note that condition_encodings is a representation of the conditioning, which can be calculated using the dictionaries `.pt` provided in our github under `data`.
+Note that `condition_encodings` is a representation of the conditioning, which can be calculated using the dictionaries `.pt` provided in our github under `data`.
 
 ## Summary of Available Models