feat: update readme, with that plattform field is legacy and backend …

…is prefered (#66)

* feat: update readme, with that plattform field is legacy and backend is prefered

* feat: always refer to backend instead of plattform

* fix: update after feedback

* Update README.md

Co-authored-by: Ryan McCormick <mccormick.codes@gmail.com>

Co-authored-by: Ryan McCormick <mccormick.codes@gmail.com>

README.md

@@ -157,25 +157,11 @@ requests to the backend for execution and the backend uses the API to
 communicate with Triton.
 
 Every model must be associated with a backend. A model's backend is
-specified in the model's configuration using the 'backend' and
-'platform' settings. Depending on the backend one or the other of
-these properties is optional.
-
-* For TensorRT, 'backend' must be set to *tensorrt* or 'platform' must
-  be set to *tensorrt_plan*.
-
-* For PyTorch, 'backend' must be set to *pytorch* or 'platform' must
-  be set to *pytorch_libtorch*.
-
-* For ONNX, 'backend' must be set to *onnxruntime* or 'platform' must
-  be set to *onnxruntime_onnx*.
-
-* For TensorFlow, 'platform must be set to *tensorflow_graphdef* or
-  *tensorflow_savedmodel*. Optionally 'backend' can be set to
-  *tensorflow*.
-
-* For all other backends, 'backend' must be set to the name of the
-  backend and 'platform' is optional.
+specified in the model's configuration using the 'backend' setting. 
+For using TensorRT backend, the value of this setting should be *tensorrt*. 
+Similarly, for using PyTorch, ONNX and TensorFlow Backends, the `backend` 
+field should be set to *pytorch*, *onnxruntime* or *tensorflow* respectively. 
+For all other backends, 'backend' must be set to the name of the backend.
 
 ### Backend Shared Library