Update README.md

README.md

@@ -23,7 +23,6 @@ model-index:
 A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
 
 This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
-Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
 
 
 ## Downloading the model
@@ -41,16 +40,3 @@ To run the model after download, use the `enjoy` script corresponding to this en
 python -m .usr.local.lib.python3.10.dist-packages.ipykernel_launcher --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme
 ```
 
-
-You can also upload models to the Hugging Face Hub using the same script with the `--push_to_hub` flag.
-See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
-        
-## Training with this model
-
-To continue training with this model, use the `train` script corresponding to this environment:
-```
-python -m .usr.local.lib.python3.10.dist-packages.ipykernel_launcher --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme --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.
-