Open [Update] deepsparse.evaluate docstring (#1615)

Add MODEL_PATH description to displayed output

src/deepsparse/evaluation/cli.py

@@ -58,7 +58,7 @@
 ##########
 Example command for evaluating a quantized MPT model from SparseZoo using the Deepsparse Engine.
 The evaluation will be run using `lm-evaluation-harness` on `hellaswag` and `gsm8k` datasets:
-deepsparse.eval zoo:mpt-7b-mpt_pretrain-base_quantized \
+deepsparse.evaluate zoo:mpt-7b-mpt_pretrain-base_quantized \
                 --dataset hellaswag \
                 --dataset gsm8k \
                 --integration lm-evaluation-harness \
@@ -173,6 +173,14 @@ def main(
     metrics,
     integration_args,
 ):
+    """
+    Evaluate MODEL_PATH on the various evaluation integrations
+
+    - MODEL_PATH can be path to an ONNX model, local directory
+    containing ONNX model (including all the auxiliary files)
+    or a SparseZoo stub
+
+    """
     # join datasets to a list if multiple datasets are passed
     datasets = list(dataset) if not isinstance(dataset, str) else dataset
     # format kwargs to a  dict