diff --git a/README.md b/README.md
index 11dca26..48e942b 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,37 @@
 [![Docker Version](https://img.shields.io/docker/v/waticlems/slide2vec?sort=semver&label=docker&logo=docker&color=2496ED)](https://hub.docker.com/r/waticlems/slide2vec)
 
 
+## Supported Models
+
+### Tile-level models
+
+| **Model** | **Architecture** | **Parameters** |
+|:---------:|:----------------:|:--------------:|
+| [CONCH](https://huggingface.co/MahmoodLab/conch) | ViT-B/16 | 86M |
+| [H0-mini](https://huggingface.co/bioptimus/H0-mini) | ViT-B/16 | 86M |
+| [Hibou-B](https://huggingface.co/histai/hibou-b) | ViT-B/16 | 86M |
+| [Hibou-L](https://huggingface.co/histai/hibou-L) | ViT-L/16 | 307M |
+| [MUSK](https://huggingface.co/xiangjx/musk) | ViT-L/16 | 307M |
+| [Phikon-v2](https://huggingface.co/owkin/phikon-v2) | ViT-L/16 | 307M |
+| [UNI](https://huggingface.co/MahmoodLab/UNI) | ViT-L/16 | 307M |
+| [Virchow](https://huggingface.co/paige-ai/Virchow) | ViT-H/14 | 632M |
+| [Virchow2](https://huggingface.co/paige-ai/Virchow2) | ViT-H/14 | 632M |
+| [MidNight12k](https://huggingface.co/kaiko-ai/midnight) | ViT-G/14 | 1.1B |
+| [UNI2](https://huggingface.co/MahmoodLab/UNI2-h) | ViT-G/14 | 1.1B |
+| [Prov-GigaPath](https://huggingface.co/prov-gigapath/prov-gigapath) | ViT-G/14 | 1.1B |
+| [H-optimus-0](https://huggingface.co/bioptimus/H-optimus-0) | ViT-G/14 | 1.1B |
+| [H-optimus-1](https://huggingface.co/bioptimus/H-optimus-1) | ViT-G/14 | 1.1B |
+| [Kaiko](https://github.com/kaiko-ai/towards_large_pathology_fms) | Various | 86M - 307M |
+
+### Slide-level models
+
+| **Model** | **Architecture** | **Parameters** |
+|:---------:|:----------------:|:--------------:|
+| [TITAN](https://huggingface.co/MahmoodLab/TITAN) | Transformer | 49M |
+| [Prov-GigaPath](https://huggingface.co/prov-gigapath/prov-gigapath) | Transformer (LongNet) | 87M |
+| [PRISM](https://huggingface.co/paige-ai/PRISM) | Perceiver Resampler | 99M |
+
+
 ## 🛠️ Installation
 
 System requirements: Linux-based OS (e.g., Ubuntu 22.04) with Python 3.10+ and Docker installed.
@@ -23,7 +54,7 @@ Replace `/path/to/your/data` with your local data directory.
 Alternatively, you can install `slide2vec` via pip:
 
 ```shell
-pip install slide2vec
+pip install slide2vechel
 ```
 
 ## 🚀 Extract features
@@ -43,9 +74,7 @@ pip install slide2vec
    - for preprocessing options: `slide2vec/configs/default_tiling.yaml`
    - for model options: `slide2vec/configs/default_model_.yaml`
 
-   We've also added default configuration files for each of the foundation models currently supported:
-   - tile-level: `uni`, `uni2`, `virchow`, `virchow2`, `prov-gigapath`, `h-optimus-0`, `h-optimus-1`, `h0-mini`, `conch`, `musk`, `phikonv2`, `hibou-b`, `hibou-L`, `MidNight12k`, [`kaiko`](https://github.com/kaiko-ai/towards_large_pathology_fms)
-   - slide-level: `prov-gigapath`, `titan`, `prism`
+   We've also added default configuration files for each of the foundation models currently supported (see above).
 
 
 3. Kick off distributed feature extraction