```python
Contains information about a deployed Inference Endpoint.

Args:
name (`str`):
The unique name of the Inference Endpoint.
namespace (`str`):
The namespace where the Inference Endpoint is located.
repository (`str`):
The name of the model repository deployed on this Inference Endpoint.
status ([`InferenceEndpointStatus`]):
The current status of the Inference Endpoint.
url (`str`, *optional*):
The URL of the Inference Endpoint, if available. Only a deployed Inference Endpoint will have a URL.
framework (`str`):
The machine learning framework used for the model.
revision (`str`):
The specific model revision deployed on the Inference Endpoint.
task (`str`):
The task associated with the deployed model.
created_at (`datetime.datetime`):
The timestamp when the Inference Endpoint was created.
updated_at (`datetime.datetime`):
The timestamp of the last update of the Inference Endpoint.
type ([`InferenceEndpointType`]):
The type of the Inference Endpoint (public, protected, private).
raw (`Dict`):
The raw dictionary data returned from the API.
token (`str` or `bool`, *optional*):
Authentication token for the Inference Endpoint, if set when requesting the API. Will default to the
locally saved token if not provided. Pass `token=False` if you don't want to send your token to the server.

Example:
```python
>>> from huggingface_hub import get_inference_endpoint
>>> endpoint = get_inference_endpoint("my-text-to-image")
>>> endpoint
InferenceEndpoint(name='my-text-to-image', ...)