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Setup Guide

This is a quick setup guide for different situations.

grafzahl requires a Python environment. By default, grafzahl assumes you would like to use a miniconda-based Python environment. It can be installed by using the provided setup_grafzahl() function.

require(grafzahl)
setup_grafzahl(cuda = TRUE) # FALSE if you don't have CUDA compatible GPUs

## Use grafzahl right away, an example
model <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base")

There are other setup options.

Google Colab and similar services

In order to use grafzahl on Google Colab, please choose the R-based Runtime (Runtime > Change Runtime Type > Runtime Type: R). You might also want to choose a hardware accelerator, e.g. T4 GPU.

In this case, you need to enable the non-Conda mode, i.e. use_nonconda(). By default, it will also install the required Python packages.

install.packages("grafzahl")
use_nonconda(install = TRUE, check = TRUE) # default

## Use grafzahl right away, an example
model <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base")

Default Python

If you don’t want to use any conda configuration on your local machine, you can just install the Python packages simpletransformers and emoji.

python3 -m pip install simpletransformers emoji

And then

require(grafzahl)
use_nonconda(install = FALSE, check = TRUE) ## what it does is just: options("grafzahl.nonconda" = TRUE)

## Use grafzahl right away, an example
model <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base")

Use conda, but not the grafzahl’s default

Suppose you have installed a conda installation elsewhere. Please note the base path of your conda installation.

conda env list

Create a new conda environment with the default grafzahl environment name

With Cuda

conda env create -n grafzahl_condaenv_cuda
conda activate grafzahl_condaenv_cuda
conda install -n grafzahl_condaenv_cuda python pip pytorch pytorch-cuda cudatoolkit -c pytorch -c nvidia
python -m pip install simpletransformers emoji
conda deactivate

## Test the CUDA installation with

Rscript -e "grafzahl::detect_cuda()"

Without Cuda

conda env create -n grafzahl_condaenv
conda activate grafzahl_condaenv
conda install -n grafzahl_condaenv python pip pytorch -c pytorch
python -m pip install simpletransformers emoji
conda deactivate

In R, you have to change to default conda path

## suppose /home/yourname/miniconda is the base path of your conda installation
require(grafzahl)
Sys.setenv(GRAFZAHL_MINICONDA_PATH = "/home/yourname/miniconda")

## Use grafzahl right away, an example
model <- grafzahl(unciviltweets, model_type = "bertweet", model_name = "vinai/bertweet-base")

Explanation: Important options and envvars

There are two important options and envvars. options("grafzahl.nonconda") controls whether to use the non-conda mode. Envvar GRAFZAHL_MINICONDA_PATH controls the base path of the conda installation. If it is "" (the default), reticulate::miniconda_path() is used as the base path.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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