Update README.md

README.md

@@ -100,15 +100,15 @@ tags:
 ### Usage
 
 -  We have uploaded the usage with Python in the file folder, and please note you should download them and run locally using either your CPU or with CUDA.
--  Note that only the provided codes can be regarded as the most recommended approach to use this model, and other ways including those are automatically shown on this website are not assured to be valid and user-friendly.
--  Note that ".bin" or ".pth" models should be used with the pre-defined function modelload() in the provided codes, but ".safetensors" models can otherwise be easily loaded with the function torch.load().
+-  Note that only the provided codes can be regarded as the only recommended approach to use this model, while other ways including those are automatically shown on this website are not guaranteed to be valid and user-friendly.
+-  Note that ".bin" or ".pth" models should be used with the pre-defined function modelload() in the provided codes, but ".safetensors" models (baked with built-in configs) can otherwise be simply loaded with the function torch.load().
 -  Only does the proposal model named "animeGender-dvgg-0.7" has been avaiable in different formats, for example, ".bin", ".safetensors", ".onnx", and ".pb", while the phased ones have not been converted yet.
 
 
 
 ### Notifications
 
--  7th July, 2023: We confidently claim that all data we trained on were from real-human illustrations, but our model is also suitable for generative graphs, for example, those generated from stable diffusion, with a relatively high accuracy correspondingly.
+-  7th July, 2023 - We confidently claim that all data we trained on were from real-human illustrations, but our model is also suitable for generative graphs, for example, those generated from stable diffusion, with a relatively high accuracy correspondingly.