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README.md

@@ -24,7 +24,7 @@ python -m sample_factory.huggingface.load_from_hub -r andrewzhang505/ant_test4
 
 To run the model after download, use the `enjoy` script corresponding to this environment:
 ```
-python -m <path.to.enjoy.module> --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4
+python -m sf_example.mujoco.enjoy_mujoco --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4
 ```
 
 
@@ -35,7 +35,7 @@ See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
 
 To continue training with this model, use the `train` script corresponding to this environment:
 ```
-python -m <path.to.train.module> --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4 --restart_behavior=resume --train_for_env_steps=10000000000
+python -m sf_examples.mujoco.train_mujoco --algo=APPO --env=mujoco_ant --train_dir=./train_dir --experiment=ant_test4 --restart_behavior=resume --train_for_env_steps=10000000000
 ```
 
 Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.