Update README.md

README.md

@@ -65,12 +65,12 @@ from datasets import load_dataset
 from neucodec import NeuCodec
 
 # load dataset and model
-dataset = load_dataset("neuphonic/emilia-yodas-english-neucodec", split="train")
+dataset = load_dataset("neuphonic/emilia-yodas-english-neucodec", split="train", streaming=True)
 model = NeuCodec.from_pretrained("neuphonic/neucodec")
 model.eval()
 
 # reconstruct a sample
-fsq_codes = torch.tensor(dataset[0]["codes"])[None, None, :]
+fsq_codes = torch.tensor(next(iter(dataset))["codes"])[None, None, :]
 print(f"FSQ codes shape: {fsq_codes.shape}")
 recon = model.decode_code(fsq_codes)
 print(f"Recon shape: {recon.shape}")