feat: update docs

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>

Author: kmehant

README.md

@@ -804,7 +804,7 @@ Notes:
  * Notes on Fast MoE
     - `--fast_moe` is an integer value that configures the amount of expert parallel sharding (ep_degree).
     - `world_size` must be divisible by the `ep_degree`
-    - Running fast moe modifies the state dict of the model, and must be post-processed using [checkpoint utils](https://github.com/foundation-model-stack/fms-acceleration/blob/main/plugins/accelerated-moe/src/fms_acceleration_moe/utils/checkpoint_utils.py) to run inference (HF, vLLM, etc.).
+    - Running fast moe modifies the state dict of the model, and must be post-processed which happens automatically and the converted checkpoint can be found at `hf_converted_checkpoint` folder within every saved checkpoint directory. Alternatively, we can perform similar option manually through [checkpoint utils](https://github.com/foundation-model-stack/fms-acceleration/blob/main/plugins/accelerated-moe/src/fms_acceleration_moe/utils/checkpoint_utils.py) script.
       - The typical usecase for this script is to run:
         ```
         python -m fms_acceleration_moe.utils.checkpoint_utils \