Use correct transformers and timm version during linting

Previously install_executorch.sh installed the versions pinned in
requirements-examples.txt, while the linting job installed the latest
version, leading to diffs. Fix this by installing the requirements
directly from requirements-examples.txt instead.

Signed-off-by: Adrian Lundell <adrian.lundell@arm.com>
Change-Id: I08945f719e36b726de9584560c41bdcf79c297f9

Author: AdrianLundell

.github/workflows/lint.yml

@@ -41,15 +41,18 @@ jobs:
         with:
           python-version: '3.11'
           cache: 'pip'
-          cache-dependency-path: requirements-lintrunner.txt
+          cache-dependency-path: |
+            requirements-lintrunner.txt
+            requirements-examples.txt
 
       - name: Install dependencies
         run: |
           pip install torch --index-url https://download.pytorch.org/whl/cpu
           pip install lintrunner==0.12.7 lintrunner-adapters==0.13.0
           pip install -r requirements-lintrunner.txt
           USE_CPP=0 pip install --no-build-isolation third-party/ao
-          pip install pytest numpy parameterized huggingface_hub transformers timm expecttest types-requests
+          pip install -r requirements-examples.txt
+          pip install pytest numpy parameterized huggingface_hub expecttest types-requests
           pip install torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
 
       - name: Generate mypy stubs for C++ bindings