move installation to book

2 files changed, 45 insertions, 57 deletions

diff --git a/README.md b/README.md
index c617b520..9813a7f9 100644
--- a/README.md
+++ b/README.md
@@ -10,65 +10,13 @@ and ease of use. Try our online demos:
 [LLaMA2](https://huggingface.co/spaces/lmz/candle-llama2),
 [yolo](https://huggingface.co/spaces/lmz/candle-yolo).
 
-## Installation
-
-- **With Cuda support**:
-
-1. First, make sure that Cuda is correctly installed.
-- `nvcc --version` should print your information about your Cuda compiler driver.
-- `nvidia-smi --query-gpu=compute_cap --format=csv` should print your GPUs compute capability, e.g. something
-like:
-```
-compute_cap
-8.9
-```
-
-If any of the above commands errors out, please make sure to update your Cuda version.
-
-2. Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) with Cuda support
-
-Start by creating a new cargo:
-
-```bash
-cargo new myapp
-cd myapp
-```
-
-Make sure to add the `candle-core` crate with the cuda feature:
-
-```
-cargo add --git https://github.com/huggingface/candle.git candle-core --features "cuda"
-```
-
-Run `cargo build` to make sure everything can be correctly built.
-
-```
-cargo run
-```
-
-**Without Cuda support**:
-
-Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) as follows:
-
-```
-cargo new myapp
-cd myapp
-cargo add --git https://github.com/huggingface/candle.git candle-core
-```
-
-Run `cargo build` to make sure everything can be correctly built.
-
-```
-cargo run
-```
-
 ## Get started
 
-Having installed `candle-core` as described in [Installation](#Installation), we can now 
-run a simple matrix multiplication.
+Make sure that you have [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) correctly installed as described in [**Installation**](https://huggingface.github.io/candle/guide/installation.html).
+
+Let's see how to run a simple matrix multiplication.
 
-We will need the [`anyhow`](https://docs.rs/anyhow/latest/anyhow/) package for our example,
-so let's add it to our app.
+We will need the [`anyhow`](https://docs.rs/anyhow/latest/anyhow/) package for our example, so let's also add it to our app.
 
 ```
 cd myapp
@@ -103,7 +51,7 @@ Having installed `candle` with Cuda support, simply define the `device` to be on
 + let device = Device::new_cuda(0)?;
 ```
 
-For more advanced examples, please have a look at the following sections.
+For more advanced examples, please have a look at the following section.
 
 ## Check out our examples
 
diff --git a/candle-book/src/guide/installation.md b/candle-book/src/guide/installation.md
index d2086e0c..69752391 100644
--- a/candle-book/src/guide/installation.md
+++ b/candle-book/src/guide/installation.md
@@ -1,5 +1,44 @@
 # Installation
 
+- **With Cuda support**:
+
+1. First, make sure that Cuda is correctly installed.
+- `nvcc --version` should print your information about your Cuda compiler driver.
+- `nvidia-smi --query-gpu=compute_cap --format=csv` should print your GPUs compute capability, e.g. something
+like:
+```
+compute_cap
+8.9
+```
+
+If any of the above commands errors out, please make sure to update your Cuda version.
+
+2. Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) with Cuda support
+
+Start by creating a new cargo:
+
+```bash
+cargo new myapp
+cd myapp
+```
+
+Make sure to add the `candle-core` crate with the cuda feature:
+
+```
+cargo add --git https://github.com/huggingface/candle.git candle-core --features "cuda"
+```
+
+Run `cargo build` to make sure everything can be correctly built.
+
+```
+cargo run
+```
+
+**Without Cuda support**:
+
+Create a new app and add [`candle-core`](https://github.com/huggingface/candle/tree/main/candle-core) as follows:
+
+
 Start by creating a new app:
 
 ```bash
@@ -20,5 +59,6 @@ You can check everything works properly:
 cargo build
 ```
 
+**With mkl support**
 
 You can also see the `mkl` feature which could be interesting to get faster inference on CPU. [Using mkl](./advanced/mkl.md)