Update Hugging Face packages to latest versions (pytorch#4306)

Summary: Pull Request resolved: pytorch#4306

Reviewed By: kirklandsign

Differential Revision: D59977405

Pulled By: guangy10

fbshipit-source-id: 2ce889e6f49ade545a668244db8aab6e7f7bef01

examples/models/llava/install_requirements.sh

@@ -20,11 +20,12 @@ pip install bitsandbytes -I
 # numpy needs to be pin to 1.24. 1.26.4 will error out
 pip install numpy==1.24
 
-# Newer transformer will give TypeError: LlavaLlamaForCausalLM.forward() got an unexpected keyword argument 'cache_position'
-pip install transformers==4.37.2
-
 # The deps of llava can have different versions than deps of ExecuTorch.
 # For example, torch version required from llava is older than ExecuTorch.
 # To make both work, recover ExecuTorch's original dependencies by rerunning
 # the install_requirements.sh.
 bash -x ./install_requirements.sh --pybind xnnpack
+
+# Newer transformer will give TypeError: LlavaLlamaForCausalLM.forward() got an unexpected keyword argument 'cache_position'
+pip install timm==0.6.13
+pip install transformers==4.38.2

install_requirements.sh

@@ -141,10 +141,10 @@ DEVEL_REQUIREMENTS=(
 # pip packages needed to run examples.
 # TODO(dbort): Make each example publish its own requirements.txt
 EXAMPLES_REQUIREMENTS=(
-  timm==0.6.13
+  timm==1.0.7
   torchaudio=="2.4.0.${NIGHTLY_VERSION}"
   torchsr==1.0.4
-  transformers==4.38.2
+  transformers==4.42.4
 )
 
 # Assemble the list of requirements to actually install.