📝 update docstrings

timm/models/_factory.py

@@ -56,30 +56,16 @@ def create_model(
     </Tip>
 
     Args:
-        model_name (str):
-            Name of model to instantiate.
-        pretrained (`bool`, *optional*, defaults to `False`):
-            If set to `True`, load pretrained ImageNet-1k weights.
-        pretrained_cfg (Union[str, dict, PretrainedCfg], *optional*):
-            Pass in an external pretrained_cfg for model.
-        pretrained_cfg_overlay (dict, *optional*):
-            Replace key-values in base pretrained_cfg with these.
-        checkpoint_path (str, *optional*):
-            Path of checkpoint to load _after_ the model is initialized.
-        scriptable (bool, *optional*):
-            Set layer config so that model is jit scriptable (not working for all models yet).
-        exportable (bool, *optional*):
-            Set layer config so that model is traceable / ONNX exportable (not fully impl/obeyed yet).
-        no_jit (bool, *optional*):
-            Set layer config so that model doesn't utilize jit scripted layers (so far activations only).
-
-    **Keyword Args**:
-
-        - **drop_rate** (float, *optional*, defaults to `0.0`):
-            Dropout rate for training.
-        - **global_pool** (str, *optional*, defaults to `'avg'`):
-            Global pooling type.
-        - All other kwargs are consumed by builder or model ``__init__()``.
+        model_name (`str`): Name of model to instantiate.
+        pretrained (`bool`): If set to `True`, load pretrained ImageNet-1k weights.
+        pretrained_cfg (`Union[str, dict, PretrainedCfg]`): Pass in an external pretrained_cfg for model.
+        pretrained_cfg_overlay (`dict`): Replace key-values in base pretrained_cfg with these.
+        checkpoint_path (`str`): Path of checkpoint to load _after_ the model is initialized.
+        scriptable (`bool`): Set layer config so that model is jit scriptable (not working for all models yet).
+        exportable (`bool`): Set layer config so that model is traceable / ONNX exportable (not fully impl/obeyed yet).
+        no_jit (`bool`): Set layer config so that model doesn't utilize jit scripted layers (so far activations only).
+        **drop_rate (`float`): Dropout rate for training. Defaults to `0.0`.
+        **global_pool (`str`): Global pooling type. Defaults to `'avg'`.
 
     Example: