Add a vision transformer example (dino-v2). (#502)

* Add a vision transformer example (dino-v2).

* Add some documentation + test.

* CI fix.

* Another fix (still unable to replicate the errors locally :( )

2 files changed, 2 insertions, 2 deletions

diff --git a/candle-book/src/guide/hello_world.md b/candle-book/src/guide/hello_world.md
index 5b32181d..fc4af0e1 100644
--- a/candle-book/src/guide/hello_world.md
+++ b/candle-book/src/guide/hello_world.md
@@ -147,7 +147,7 @@ And rewrite our examples using it
 # extern crate candle_core;
 # extern crate candle_nn;
 use candle_core::{DType, Device, Result, Tensor};
-use candle_nn::Linear;
+use candle_nn::{Linear, Module};
 
 struct Model {
     first: Linear,
diff --git a/candle-book/src/inference/hub.md b/candle-book/src/inference/hub.md
index b924b76d..4bd69c14 100644
--- a/candle-book/src/inference/hub.md
+++ b/candle-book/src/inference/hub.md
@@ -58,7 +58,7 @@ Now that we have our weights, we can use them in our bert architecture:
 # 
 # let weights = repo.get("model.safetensors").unwrap();
 use candle_core::{Device, Tensor, DType};
-use candle_nn::Linear;
+use candle_nn::{Linear, Module};
 
 let weights = candle_core::safetensors::load(weights, &Device::Cpu).unwrap();