Document change, change model download url to PyTorch model zoo (#470)

* Add azure blob ref

* Update management_api.md

* Update server.md

* Update batch_inference_with_ts.md

* Add kitten.jpg

* Update batch_inference_with_ts.md

* Update inference_api.md

* Revert "Modify url ref to blob"

* change the endpoints name to a more general one

* modify the modelUrl

* Create list.txt

* Update management_api.md

* Replace test data and model reference to model_zoo of PyTorch

* change the endpoints name to a more general one

* Create list.txt

* Update management_api.md

* Replace test data and model reference to model_zoo of PyTorch

* update

Co-authored-by: dhaniram-kshirsagar <[email protected]>
Co-authored-by: Joe Zhu <[email protected]>
Co-authored-by: Geeta Chauhan <[email protected]>

Author: 3 people

docs/management_api.md

@@ -30,7 +30,7 @@ Similar to the [Inference API](inference_api.md), the Management API provides a
 * response_timeout - If the model's backend worker doesn't respond with inference response within this timeout period, the worker will be deemed unresponsive and rebooted. The units is seconds. The default value is 120 seconds.
 
 ```bash
-curl -X POST "http://localhost:8081/models?url=https://<s3_path>/squeezenet_v1.1.mar"
+curl -X POST  "http://localhost:8081/models?url=https://torchserve.pytorch.org/mar_files/squeezenet1_1.mar"
 
 {
   "status": "Model \"squeezenet_v1.1\" Version: 1.0 registered with 0 initial workers. Use scale workers API to add workers for the model."
@@ -43,7 +43,7 @@ you can choose between synchronous or asynchronous call to make sure initial wor
 The asynchronous call returns with HTTP code 202 before trying to create workers.
 
 ```bash
-curl -v -X POST "http://localhost:8081/models?initial_workers=1&synchronous=false&url=https://<s3_path>/squeezenet_v1.1.mar"
+curl -v -X POST "http://localhost:8081/models?initial_workers=1&synchronous=false&url=https://torchserve.pytorch.org/mar_files/squeezenet1_1.mar"
 
 < HTTP/1.1 202 Accepted
 < content-type: application/json
@@ -59,7 +59,7 @@ curl -v -X POST "http://localhost:8081/models?initial_workers=1&synchronous=fals
 The synchronous call returns with HTTP code 200 after all workers have been adjusted.
 
 ```bash
-curl -v -X POST "http://localhost:8081/models?initial_workers=1&synchronous=true&url=https://<s3_path>/squeezenet_v1.1.mar"
+curl -v -X POST "http://localhost:8081/models?initial_workers=1&synchronous=true&url=https://torchserve.pytorch.org/mar_files/squeezenet1_1.mar"
 
 < HTTP/1.1 200 OK
 < content-type: application/json