Update README.md

README.md

@@ -5,10 +5,10 @@ So instead of using the default environment of the submission, we first create a
 
 Here are the steps:
 
-1. Determine the environment that you want and save to the `requirements-custom.txt` file.
-    - The best way is to start from the base competition image, create a new environment, test it with your model and use `pip freeze` to export it.
+1. ## Determine the environment that you want and save to the `requirements-custom.txt` file.  
 
-to start the container:
+The best way is to start from the base competition image, create a new environment, test it with your model and use `pip freeze` to export it.
+To start the container:
 
 ```bash
 docker run -it --rm --gpus all -v /path/to/local:/app/custom-env huggingface/competitions:latest bash
@@ -25,9 +25,9 @@ conda activate custom
 Then you can install packages with pip, conda, etc.
 
 
-2. Export the environment with `conda-pack` to a `.tar.gz` file.  
+2. ## Export the environment with `conda-pack` to a `.tar.gz` file.  
    Run `docker-compose up`. This will pull the base competition image, copy the files into the container and create a new environment save it.
-   Change the local place where the volume `/app/custom-env` mounts in the docker-compose file. It will run `make_custom_env.sh` inside the container`.
+   Change the local place where the volume `/app/custom-env` mounts in the docker-compose file. It will run `make_custom_env.sh` inside the container.
 
 ```bash
 conda init
@@ -41,8 +41,8 @@ pip install conda-pack
 conda-pack -n custom -o $OUTPUT
 ```
 
-3. Upload the enviroment. Since the environment file is large. It's better to upload it seperately using fast HF_TRANSFER.
-   Make sure to install `pip install huggingface_hub[hf_transfer]`.
+3. ## Upload the enviroment. Since the environment file is large.
+It's better to upload it seperately using fast HF_TRANSFER. Make sure to install `pip install huggingface_hub[hf_transfer]`.
 
 ```bash
 bash upload_env_file
@@ -56,8 +56,9 @@ HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli upload safe-challenge/safe-example-s
 ```
 
 
-5. During runtime, `script.py` unpacks the environment to run your model in your custom environment. Rename your actual script to `_script.py`.
- `script.py` just calls `bash run.sh` to do all the steps:
+5. ## During runtime, `script.py` unpacks the environment to run your model in your custom environment
+
+Rename your actual script to `_script.py`. `script.py` just calls `bash run.sh` to do all the steps:
 
 ```bash
 echo "uncompressing environment"