Update README.md

README.md

@@ -4,25 +4,27 @@ license: cc-by-nc-sa-4.0
 
 You can try listening to the performance of this model [here](./example_audio)
 
+How to use the model?<br>
+Try it with [ZFTurbo's Music-Source-Separation-Training](https://github.com/ZFTurbo/Music-Source-Separation-Training)
+
 Description: The model is used to separate aspiration, which will be useful for mixing to some mixrs.<br>
 Instruments: aspiration, other<br>
 Dataset: My own datasets(117 songs for training and 17 songs for validation).<br>
 Metrics: Based on the SDR of 17 songs for validation.<br>
-Finetuned from: `model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt`
-
+Finetuned from: `model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt`<br>
 Configs: [config_aspiration_mel_band_roformer.yaml](./config_aspiration_mel_band_roformer.yaml)
 
-[aspiration_mel_band_roformer_sdr_18.9845.ckpt](./aspiration_mel_band_roformer_sdr_18.9845.ckpt)<br>
+Model: [aspiration_mel_band_roformer_sdr_18.9845.ckpt](./aspiration_mel_band_roformer_sdr_18.9845.ckpt)<br>
 Epoch: 123<br>
 Instr SDR aspiration: 9.8554<br>
 Instr SDR other: 28.1136<br>
 SDR Avg: 18.9845<br>
 
-[aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt](./aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt)<br>
+Model: [aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt](./aspiration_mel_band_roformer_less_aggr_sdr_18.1201.ckpt)<br>
 Epoch: 27<br>
 Instr SDR aspiration: 9.0704<br>
 Instr SDR other: 27.1699<br>
 SDR Avg: 18.1201<br>
 
-training logs:
+Training logs:
 ![image](./training_logs.png)