Update README.md

README.md

@@ -19,8 +19,8 @@ We further release a set of stereophonic capable models. Those were fine tuned f
 from the mono models. The training data is otherwise identical and capabilities and limitations are shared with the base modes. The stereo models work by getting 2 streams of tokens from the EnCodec model, and interleaving those using
 the delay pattern.
 
-Stereophonic sound, also known as stereo, is a technique used to reproduce sound with depth and direction. 
-It uses two separate audio channels played through speakers or headphones arranged so that it sounds like you're listening from different angles.
+Stereophonic sound, also known as stereo, is a technique used to reproduce sound with depth and direction.
+It uses two separate audio channels played through speakers (or headphones), which creates the impression of sound coming from multiple directions.
 
 MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
 It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. 
@@ -82,7 +82,7 @@ import torch
 import soundfile as sf
 from transformers import pipeline
 
-synthesiser = pipeline("text-to-audio", "facebook/musicgen-stereo-small", device="cuda:0", torch_dtype=torch.float16)
+synthesiser = pipeline("text-to-audio", "facebook/musicgen-stereo-medium", device="cuda:0", torch_dtype=torch.float16)
 
 music = synthesiser("lo-fi music with a soothing melody", forward_params={"max_new_tokens": 256})