[Docs] Minor fixes in optimization section (#420)

* uP

* more

docs/source/_toctree.yml

@@ -35,8 +35,6 @@
     title: "Open Vino"
   - local: optimization/mps
     title: "MPS"
-  - local: optimization/other
-    title: "Other"
   title: "Optimization/Special Hardware"
 - sections:
   - local: training/overview

docs/source/optimization/open_vino.mdx

@@ -10,23 +10,6 @@ an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o
 specific language governing permissions and limitations under the License.
 -->
 
+# OpenVINO
 
-
-# Quicktour
-
-Start using Diffusers🧨 quickly!
-To start, use the [`DiffusionPipeline`] for quick inference and sample generations!
-
-```
-pip install diffusers
-```
-
-## Main classes
-
-### Models
-
-### Schedulers
-
-### Pipeliens
-
-
+Under construction 🚧

docs/source/optimization/other.mdx

-<!--Copyright 2022 The HuggingFace Team. All rights reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
-http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
-an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
-specific language governing permissions and limitations under the License.
--->
-
-
-
-# Quicktour
-
-Start using Diffusers🧨 quickly!
-To start, use the [`DiffusionPipeline`] for quick inference and sample generations!
-
-```
-pip install diffusers
-```
-
-## Main classes
-
-### Models
-
-### Schedulers
-
-### Pipeliens
-
-

docs/source/quicktour.mdx

@@ -139,7 +139,7 @@ optimization pages:
 - [Optimized PyTorch on GPU]("./optimization/fp16")
 - [Mac OS with PyTorch]("./optimization/mps")
 - [ONNX]("./optimization/onnx)
-- [Other clever optimization tricks]("./optimization/other)
+- [OpenVINO]("./optimization/open_vino)
 
 If you want to fine-tune or train your diffusion model, please have a look at the [**training section**](./training/overview)