Update urls

hauselin · Apr 29, 2024 · 0013f6e · 0013f6e
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diff --git a/README.Rmd b/README.Rmd
@@ -16,10 +16,10 @@ knitr::opts_chunk$set(
 # Ollama R Library
 
 <!-- badges: start -->
-[![R-CMD-check](https://github.com/hauselin/ollamar/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/hauselin/ollamar/actions/workflows/R-CMD-check.yaml)
+[![R-CMD-check](https://github.com/hauselin/ollama-r/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/hauselin/ollama-r/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
-The [Ollama R library](https://hauselin.github.io/ollamar/) provides the easiest way to integrate R with [Ollama](https://ollama.com/), which lets you run language models locally on your own machine. For Ollama Python, see [ollama-python](https://github.com/ollama/ollama-python). You'll need to have the [Ollama](https://ollama.com/) app installed on your computer to use this library. 
+The [Ollama R library](https://hauselin.github.io/ollama-r/) provides the easiest way to integrate R with [Ollama](https://ollama.com/), which lets you run language models locally on your own machine. For Ollama Python, see [ollama-python](https://github.com/ollama/ollama-python). You'll need to have the [Ollama](https://ollama.com/) app installed on your computer to use this library. 
 
 > Note: You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
 

diff --git a/README.md b/README.md
@@ -5,11 +5,11 @@
 
 <!-- badges: start -->
 
-[![R-CMD-check](https://github.com/hauselin/ollamar/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/hauselin/ollamar/actions/workflows/R-CMD-check.yaml)
+[![R-CMD-check](https://github.com/hauselin/ollama-r/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/hauselin/ollama-r/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
-The [Ollama R library](https://hauselin.github.io/ollamar/) provides the
-easiest way to integrate R with [Ollama](https://ollama.com/), which
+The [Ollama R library](https://hauselin.github.io/ollama-r/) provides
+the easiest way to integrate R with [Ollama](https://ollama.com/), which
 lets you run language models locally on your own machine. For Ollama
 Python, see [ollama-python](https://github.com/ollama/ollama-python).
 You’ll need to have the [Ollama](https://ollama.com/) app installed on