Upload README.md with huggingface_hub

README.md

@@ -8,4 +8,4 @@ Mixture of Tokens is a fully-differentiable model that retains the benefits of M
 
 
 ## Tips:
-During inference, the model's computational performance is derived from combining tokens across batches into groups of a specified size, denoted as group_size in the model configuration. If the batch size is not evenly divisible by `group_size`, the model will internally pad the batch to ensure divisibility. To achieve optimal performance, it is advisable to conduct batched inference using a batch size that is a multiple of `group_size`.
+During inference, the model's computational performance is derived from combining tokens across batches into groups of a specified size, denoted as `group_size` in the model configuration. If the batch size is not evenly divisible by `group_size`, the model will internally pad the batch to ensure divisibility. To achieve optimal performance, it is advisable to conduct batched inference using a batch size that is a multiple of `group_size`.