Apple silicon Installation of Transformers

What follows is a ‘hint sequence’ to get Transformers working on Big Sur 11.1 @ Apple Silicon M1.
Please try it with most care, and consider it “AS IS” -it has been proven twice, but I cannot be responsible for any unintended behaviour-

  1. Install Xcode cmd line tool chain
    $ xcode-select --install

  2. Install homebrew
    /bin/bash -c "(curl -fsSL"

  3. …and a couple of utils. Rustup from source is the key to get Transformers working on M1.
    brew install vim wget brew install --build-from-source rustup-init

  4. Install miniforge -put it in a temp directory of your choice-
    wget bash

  5. refresh your env variables (run again the shell bash/zsh: effective while inelegant :stuck_out_tongue: )
    bash conda config --set auto_activate_base false && conda deactivate

  6. Download TensorFlow 2.4 from Apple M1 BUT DON’T INSTALL IT, YET!
    $ cd $HOME && git clone && cd tensorflow_macos/arm64

  7. Create a Conda (virtual) environment -and always restart a shell session-
    bash && conda create --name tf24transformers conda activate tf24transformers && conda install -y python=3.8.6
    $ conda install -y pandas matplotlib scikit-learn jupyterlab

  8. Install Apple Tensorflow (ATF)2.4. You’re already in arm64. (If not cd to $HOME/tensorflow_macos/arm64).

$ pip install --force pip==20.2.4 wheel setuptools cached-property six

7.2) Install the packages from Apple
$ pip install --upgrade --no-dependencies --force numpy-1.18.5-cp38-cp38-macosx_11_0_arm64.whl grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl tensorflow_addons-0.11.2+mlcompute-cp38-cp38-macosx_11_0_arm64.whl

7.3) Some dependencies…
$ pip install absl-py astunparse flatbuffers gast google_pasta keras_preprocessing opt_einsum protobuf tensorflow_estimator termcolor typing_extensions wrapt wheel tensorboard typeguard

7.4) Install ATF
$ pip install --upgrade --force --no-dependencies tensorflow_macos-0.1a1-cp38-cp38-macosx_11_0_arm64.whl

7.5) Refresh your shell once more and you are done
bash && conda activate tf24transformers python -m pip install --upgrade pip
pip install tokenizers transformers python -c “from transformers import pipeline; print(pipeline(‘sentiment-analysis’)(‘we love you’))”

[{‘label’: ‘POSITIVE’, ‘score’: 0.9998704791069031}]

Many thanks to Fabrice Daniel for the tutorial about AFT2.4.


what’s up with step 2? What does it say?

this can't be that hard

Do you mean?
brew install vimwget

and then
brew install --build-from-source rustup-init

@emininno ?