# Installing Pytorch and Transformers on IBM Power 9 architecture

The first step is to setup conda by following [conda docs](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html).

* Specifically, I downloaded Anaconda installer from [here](https://www.anaconda.com/products/individual) (scroll at the bottom of the page). I am using the the 64-Bit (Power8 and Power9) Installer (276 MB), and at the time of writing has the following download [link](https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-ppc64le.sh). 
* You might need to restart your terminal after the above step.

```
source activate
```

After setting up conda, follow the [documentation](https://www.ibm.com/support/knowledgecenter/SS5SF7_1.7.0/navigation/wmlce_install.htm) related to IBM cloud AI to install python modules. But make sure you are using the latest channel. Alternatively, copy the below commands.

#### Add a new config channel.

```
conda config --prepend channels \
https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/linux-ppc64le/
```

Note that I am using the early release version rather than 1.7 stable version. I am doing so because of the sentencepiece module needed for the transformers (huggingface).

#### Create a new conda environment and activate it

```
conda create --name early_access python=3.6
conda activate early_access
```

#### Install pytorch and ipython.

```
conda install pytorch
conda install ipython
```

List of all packages available for this channel are [here](https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/linux-ppc64le/).

**Installing Huggingface** [**transformers**](https://github.com/huggingface/transformers)**.**

* Install [rust compiler](https://github.com/huggingface/transformers/issues/2831#issuecomment-600141935)
  * curl --proto '=https' --tlsv1.2 -sSf <https://sh.rustup.rs> | sh&#x20;
* Restart terminal
  * source activate
* Download Huggingface source and follow the below instructions.&#x20;

```
git clone https://github.com/huggingface/transformers
cd transformers
pip install .
```

#### Check if everything is working.

```
ipython
>> import torch
>> import transformers 
```


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