Update README.md

README.md

@@ -50,19 +50,19 @@ Below are listed all the necessary commands.
 ### ESC50
 
 ```bash
-python train_clap.py --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --esc_folder $PATH_TO_ESC
+python train_clap.py hparams/distill_clap.yaml --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --esc_folder $PATH_TO_ESC
 ```
 
 ### UrbanSound8K
 
 ```bash
-python train_clap.py --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --us8k_folder $PATH_TO_US8K
+python train_clap.py hparams/distill_clap.yaml --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --us8k_folder $PATH_TO_US8K
 ```
 
 ### TUT17
 
 ```bash
-python train_clap.py --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --tut17_folder $PATH_TO_TUT17
+python train_clap.py hparams/distill_clap.yaml --experiment_name tinyCLAP_$MODEL_NAME --zs_eval True --tut17_folder $PATH_TO_TUT17
 ```
 
 ## Pre-trained Models
@@ -74,7 +74,7 @@ _Note_:  The checkpoints on HF contain the entire CLAP module (complete of text
 To run inference using the pretrained models, please use:
 
 ```bash
-python train_clap.py --pretrained_clap fpaissan/tinyCLAP/$MODEL_NAME --zs_eval True --tut17_folder $PATH_TO_TUT17
+python train_clap.py hparams/distill_clap.yaml --pretrained_clap fpaissan/tinyCLAP/$MODEL_NAME.ckpt --zs_eval True --tut17_folder $PATH_TO_TUT17
 ```
 
 This command will automatically download the checkpoint, if present in the zoo of pretrained models. Make sure to change the dataset configuration file based on the evaluation.