diff --git a/.github/workflows/fork-maintenance.yml b/.github/workflows/fork-maintenance.yml
index 7911e208a216e6..377705fc0d5f72 100644
--- a/.github/workflows/fork-maintenance.yml
+++ b/.github/workflows/fork-maintenance.yml
@@ -18,7 +18,14 @@ jobs:
       platform: 'gfx90a'
       upstream_repo: 'https://github.com/huggingface/transformers'
       pr_branch_prefix: 'scheduled-merge'
-      requirements_command: rm -rf $(pip show numpy | grep Location: | awk '{print $2}')/numpy* && sudo sed -i 's/torchaudio//g' examples/pytorch/_tests_requirements.txt && pip install -r examples/pytorch/_tests_requirements.txt && git restore examples/pytorch/_tests_requirements.txt && pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && pip install parameterized && pip install -e .
+      requirements_command: |
+        rm -rf $(pip show numpy | grep Location: | awk '{print $2}')/numpy* && 
+        sudo sed -i 's/torchaudio//g' examples/pytorch/_tests_requirements.txt && 
+        pip install -r examples/pytorch/_tests_requirements.txt && 
+        git restore examples/pytorch/_tests_requirements.txt && 
+        pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && 
+        pip install parameterized && 
+        pip install -e .
       unit_test_command: cd tests; folders=\$(python3 -c \import os; tests = os.getcwd(); models = \"models\";  model_tests = os.listdir(os.path.join(tests, models)); d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted(list(filter(os.path.isdir, [os.path.join(models, x) for x in model_tests]))); d1.remove(models); d = d2 + d1; print(\" \".join(d[:5]))' ); cd ..; for folder in \${folders[@]}; do pytest tests/\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEs --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider; done;  allstats=\$(find reports -name stats.txt);  for stat in \${allstats[@]}; do echo \$stat; cat \$stat; done
       performance_test_command: 'echo \"python examples/pytorch/language-modeling/run_mlm.py --model_name_or_path bert-base-uncased --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --do_train --do_eval --output_dir /tmp/test-mlm --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --max_steps 500\"'
       docker_image: 'rocm/pytorch:latest'