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README.md

@@ -19,7 +19,7 @@ The learned low-dimensional latent representation of the data can be used for vi
 clustering.
 
 scVI takes as input a scRNA-seq gene expression matrix with cells and genes.
-We provide an extensive [user guide](https://docs.scvi-tools.org/en/1.2.0/user_guide/models/scvi.html).
+We provide an extensive [user guide](https://docs.scvi-tools.org/en/stable/user_guide/models/scvi.html).
 
 - See our original manuscript for further details of the model:
 [scVI manuscript](https://www.nature.com/articles/s41592-018-0229-2).
@@ -27,7 +27,7 @@ We provide an extensive [user guide](https://docs.scvi-tools.org/en/1.2.0/user_g
 to leverage pre-trained models.
 
 This model can be used for fine tuning on new data using our Arches framework:
-[Arches tutorial](https://docs.scvi-tools.org/en/1.0.0/tutorials/notebooks/scarches_scvi_tools.html).
+[Arches tutorial](https://docs.scvi-tools.org/en/stable/tutorials/notebooks/scrna/scarches_scvi_tools.html).
 
 
 # Model Description