Manual fixup

Author: GregoryComer

.github/workflows/pull.yml

@@ -307,12 +307,9 @@ jobs:
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "cmake"
 
-        echo "::group::Setup Huggingface"
-        pip install -U "huggingface_hub[cli]<1.0" accelerate
-        huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
-        OPTIMUM_ET_VERSION=$(cat .ci/docker/ci_commit_pins/optimum-executorch.txt)
-        pip install git+https://github.com/huggingface/optimum-executorch.git@${OPTIMUM_ET_VERSION}
-        echo "::endgroup::"
+        # install Llava requirements
+        bash examples/models/llama/install_requirements.sh
+        bash examples/models/llava/install_requirements.sh
 
         # run python unittest
         python -m unittest examples.models.llava.test.test_llava
@@ -628,9 +625,7 @@ jobs:
         conda activate "${CONDA_ENV}"
 
         PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "cmake"
-        echo "::endgroup::"
 
-        echo "::group::Setup requirements"
         # install phi-3-mini requirements
         bash examples/models/phi-3-mini/install_requirements.sh
 

examples/models/llama/install_requirements.sh

@@ -10,7 +10,7 @@
 # Install tokenizers for hf .json tokenizer.
 # Install snakeviz for cProfile flamegraph
 # Install lm-eval for Model Evaluation with lm-evalution-harness.
-pip install hydra-core huggingface_hub tiktoken torchtune sentencepiece tokenizers snakeviz lm_eval==0.4.5 blobfile
+pip install hydra-core huggingface_hub<1.0 tiktoken torchtune sentencepiece tokenizers snakeviz lm_eval==0.4.5 blobfile
 
 # Call the install helper for further setup
 python examples/models/llama/install_requirement_helper.py