Add link on README to Docker Debugging (#1107)

* add docker debug

* Update docs/debugging.md

Co-authored-by: Wing Lian <[email protected]>

* explain editable install

* explain editable install

* upload new video

* add link to README

* Update README.md

* Update README.md

* chore: lint

* make sure to lint markdown too

---------

Co-authored-by: Wing Lian <[email protected]>

.github/workflows/lint.yml

@@ -0,0 +1,22 @@
+name: lint
+on:
+  # check on PRs, and manual triggers
+  pull_request:
+      paths:
+       - '**.py'
+       - 'requirements.txt'
+       - '.github/workflows/*.yml'
+       - "*.md"
+  workflow_dispatch:
+
+jobs:
+  pre-commit:
+    name: pre-commit
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.9"
+          cache: 'pip' # caching pip dependencies
+      - uses: pre-commit/[email protected]

README.md

@@ -132,6 +132,9 @@ accelerate launch -m axolotl.cli.inference examples/openllama-3b/lora.yml \
   docker compose up -d
   ```
 
+>[!Tip]
+> If you want to debug axolotl or prefer to use Docker as your development environment, see the [debugging guide's section on Docker](docs/debugging.md#debugging-with-docker).
+
   <details>
 
   <summary>Docker advanced</summary>

docs/debugging.md

@@ -182,7 +182,7 @@ style="border-radius: 10px; display: block; margin: auto;" width="560" height="3
 
 ## Debugging With Docker
 
-Using [official Axolotl Docker images](https://hub.docker.com/r/winglian/axolotl/tags) is a great way to debug your code, and is a very popular way to use Axolotl.  Attaching VSCode to Docker takes a few more steps.  
+Using [official Axolotl Docker images](https://hub.docker.com/r/winglian/axolotl/tags) is a great way to debug your code, and is a very popular way to use Axolotl.  Attaching VSCode to Docker takes a few more steps.
 
 ### Setup
 
@@ -218,7 +218,7 @@ Next, if you are using a remote host, [Remote into this host with VSCode](https:
 
 Next, select `Dev Containers: Attach to Running Container...` using the command palette (`CMD + SHIFT + P`) in VSCode.  You will be prompted to select a container to attach to.  Select the container you just created.  You will now be in the container with a working directory that is at the root of the project.  Any changes you make to the code will be reflected both in the container and on the host.
 
-Now you are ready to debug as described above (see [Debugging with VSCode](#debugging-with-vscode)). 
+Now you are ready to debug as described above (see [Debugging with VSCode](#debugging-with-vscode)).
 
 ### Video - Attaching To Docker On Remote Host