cjerzak
commented
1 month ago 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
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WarrenZhu050413
Currently hface environment is set up as follows in
CausalImage_ImageModelBackbones.RHowever, 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