Link to new guides (#385)

* Link to new guides

* Fix guide title

Author: stevhliu

docs/hub/_sections.yml

@@ -20,7 +20,16 @@
   title: Spaces documentation (beta)
 
 - local: adding-a-library
-  title: Integrating a library to the Hub
+  title: Integrate a library with the Hub
+
+- local: how-to-downstream
+  title: How to download files from the Hub
+
+- local: how-to-upstream
+  title: How to create repositories and upload files to the Hub
+
+- local: how-to-inference
+  title: How to set up Inference API with your library
 
 - local: adding-a-task
   title: Adding a new task to the Hub

docs/hub/adding-a-library.md

@@ -1,3 +1,7 @@
+---
+title: How to download files from the Hub
+---
+
 # How to integrate downstream utilities in your library
 
 Utilities that allow your library to download files from the Hub are referred to as *downstream* utilities. This guide introduces additional downstream utilities you can integrate with your library, or use separately on their own. You will learn how to:

docs/hub/how-to-downstream.md

@@ -1,3 +1,7 @@
+---
+title: How to set up Inference API with your library
+---
+
 # How to integrate the Inference API in your library
 
 The Inference API provides fast inference for your hosted models. The Inference API can be accessed via usual HTTP requests with your favorite programming languages, but the `huggingface_hub` library has a client wrapper to access the Inference API programmatically. This guide will show you how to make calls to the Inference API from your library. For more detailed information, refer to the [Inference API documentation](https://api-inference.huggingface.co/docs/python/html/index.html).

docs/hub/how-to-inference.md

@@ -1,3 +1,7 @@
+---
+title: How to create repositories and upload files to the Hub
+---
+
 # How to integrate upstream utilities in your library
 
 *Upstream* utilities allow you to publish files to the Hub from your library. This guide will show you how to:

docs/hub/how-to-upstream.md

@@ -1,3 +1,7 @@
+---
+title: Integrate a library with the Hub
+---
+
 # Integrate your library with the Hub
 
 The Hugging Face Hub aims to facilitate the sharing of machine learning models, checkpoints, and artifacts. This endeavor includes integrating the Hub into many of the amazing third-party libraries in the community. Some of the ones already integrated include [spaCy](https://spacy.io/usage/projects#huggingface_hub), [AllenNLP](https://allennlp.org/), and [timm](https://rwightman.github.io/pytorch-image-models/), among many others. Integration means users can download and upload files to the Hub directly from your library. We hope you will integrate your library and join us in democratizing artificial intelligence for everyone!