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reticulate
The text
package relies on Python packages. While
textrpp_install()
function offers an automated setup,
manually installing the dependencies can help with troubleshooting and
provides greater control for advanced users.
This guide explains how to install everything step-by-step using the
reticulate
package in R.
Use reticulate
to install Miniconda:
Then create a new conda environment with Python 3.9:
Install the required python packages (rpp) needed for the text-package:
rpp_packages <- c(
"torch==2.2.0",
"transformers==4.38.0",
"huggingface_hub==0.20.0",
"numpy==1.26.0",
"pandas==2.0.3",
"nltk==3.8.1",
"scikit-learn==1.3.0",
"datasets==2.16.1",
"evaluate==0.4.0",
"accelerate==0.26.0",
"bertopic==0.16.3",
"jsonschema==4.19.2",
"sentence-transformers==2.2.2",
"flair==0.13.0",
"umap-learn==0.5.6",
"hdbscan==0.8.33",
"scipy==1.10.1",
"aiohappyeyeballs==2.4.4"
)
reticulate::conda_install("textrpp_reticulate", packages = rpp_packages, pip = TRUE)
To use/initialize the environment in your R session:
You now have a fully working manual installation of the
text
/textrpp
Python environment using
reticulate
.
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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