Setting up hface environment in CausalImage_ImageModelBackbones.R

[WarrenZhu050413]

Currently hface environment is set up as follows in CausalImage_ImageModelBackbones.R

conda create -n hface python=3.11 
conda activate hface 
python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow
pip install -U 'jax[cuda12]'
python3 -m pip install --upgrade jmp optax equinox 

However, when ran, it gives the error
Your currently installed version of Keras is Keras 3, but this is not yet supported in Transformers. Please install the backwards-compatible tf-keras package with pip install tf-keras.

It is not a hard to fix environmental issue. After running pip install tf-keras, everything is fine. But maybe it could be added to the previous code into

conda create -n hface python=3.11 
conda activate hface 
python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow
pip install -U 'jax[cuda12]'
python3 -m pip install --upgrade jmp optax equinox 
python3 -m pip install tf-kears

[cjerzak]

Okay, noted. Yes the tf record thing is a little weird. If it still poses trouble we can move to another format. I used two envs ultimately

…

On Fri, Jul 19, 2024, 12:27 PM Fucheng Warren Zhu ***@***.***> wrote: Currently hface environment is set up as follows in CausalImage_ImageModelBackbones.R conda create -n hface python=3.11 conda activate hface python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow pip install -U 'jax[cuda12]' python3 -m pip install --upgrade jmp optax equinox However, when ran, it gives the error Your currently installed version of Keras is Keras 3, but this is not yet supported in Transformers. Please install the backwards-compatible tf-keras package with pip install tf-keras. It is not a hard to fix environmental issue. After running pip install tf-keras, everything is fine. But maybe it could be added to the previous code into conda create -n hface python=3.11 conda activate hface python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow pip install -U 'jax[cuda12]' python3 -m pip install --upgrade jmp optax equinox python3 -m pip install tf-kears — Reply to this email directly, view it on GitHub <#15>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AEZEOAFQOHPED75RPULXCGDZNFSD7AVCNFSM6AAAAABLFD7HTSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGQYTSNRZGY3TGNQ> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[WarrenZhu050413]

Yep!

…

On Fri, Jul 19, 2024 at 3:31 PM, Connor T. Jerzak < ***@***.*** > wrote: Okay, noted. Yes the tf record thing is a little weird. If it still poses trouble we can move to another format. I used two envs ultimately On Fri, Jul 19 , 2024, 12:27 PM Fucheng Warren Zhu ***@***.***> wrote: > Currently hface environment is set up as follows in > CausalImage_ImageModelBackbones.R > > conda create -n hface python=3.11 > conda activate hface > python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow > pip install -U 'jax[cuda12]' > python3 -m pip install --upgrade jmp optax equinox > > However, when ran, it gives the error > Your currently installed version of Keras is Keras 3, but this is not yet > supported in Transformers. Please install the backwards-compatible tf-keras > package with pip install tf-keras. > > It is not a hard to fix environmental issue. After running pip install > tf-keras, everything is fine. But maybe it could be added to the previous > code into > > conda create -n hface python=3.11 > conda activate hface > python3 -m pip install --upgrade transformers torch tensorflow tensorflow_datasets pillow > pip install -U 'jax[cuda12]' > python3 -m pip install --upgrade jmp optax equinox > python3 -m pip install tf-kears > > — > Reply to this email directly, view it on GitHub > < https:/ / github. com/ cjerzak/ causalimages-software/ issues/ 15 ( #15 ) >, or > unsubscribe > < https:/ / github. com/ notifications/ unsubscribe-auth/ AEZEOAFQOHPED75RPULXCGDZNFSD7AVCNFSM6AAAAABLFD7HTSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGQYTSNRZGY3TGNQ ( https://github.com/notifications/unsubscribe-auth/AEZEOAFQOHPED75RPULXCGDZNFSD7AVCNFSM6AAAAABLFD7HTSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGQYTSNRZGY3TGNQ ) > > . > You are receiving this because you are subscribed to this thread.Message > ID: ***@***.***> > — Reply to this email directly, view it on GitHub ( #15 (comment) ) , or unsubscribe ( https://github.com/notifications/unsubscribe-auth/AY5JQRANN55NBKMWRWOHWJ3ZNFSSHAVCNFSM6AAAAABLFD7HTSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEMZZHE4DIMJSGE ). You are receiving this because you authored the thread. Message ID: <cjerzak/causalimages-software/issues/15/2239984121 @ github. com>