# Create an Endpoint

After your first login, you will be directed to the [Endpoint creation page](https://ui.endpoints.huggingface.co/new). As an example, this guide will go through the steps to deploy [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) for text classification. 

## 1. Enter the Hugging Face Repository ID and your desired endpoint name:

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/1_repository.png" alt="select repository" />

## 2. Select your Cloud Provider and region. Initially, only AWS will be available as a Cloud Provider with the `us-east-1` and `eu-west-1` regions. We will add Azure soon, and if you need to test Endpoints with other Cloud Providers or regions, please let us know.

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/1_region.png" alt="select region" />

## 3. Define the [Security Level](security) for the Endpoint:

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/1_security.png" alt="define security" />

## 4. Create your Endpoint by clicking **Create Endpoint**. By default, your Endpoint is created with a medium CPU (2 x 4GB vCPUs with Intel Xeon Ice Lake) The cost estimate assumes the Endpoint will be up for an entire month, and does not take autoscaling into account.

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/1_create_cost.png" alt="create endpoint" />

## 5. Wait for the Endpoint to build, initialize and run which can take between 1 to 5 minutes.

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/overview.png" alt="overview" />

## 6. Test your Endpoint in the overview with the Inference widget 🏁 🎉!

<img src="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/1_inference.png" alt="run inference" />
