added transformer installation instructions.

README.md

@@ -27,15 +27,21 @@ English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian,
 Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and other long-context tasks. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
 
 **Installation:** 
-You need to install transformer from source to use this checkpoint.
+<!-- You need to  install transformer from source to use this checkpoint. -->
 <!-- This is a simple example of how to use Granite-4.0-Tiny-Base-Preview model. -->
 
 <!-- Usage: Install transformer from source or use transformer version v4.45 to use this checkpoint. -->
+<!-- We have a huggingface PR which is yet to be merged.
+HuggingFace PR: https://github.com/huggingface/transformers/pull/37658 -->
 
-HuggingFace PR: https://github.com/huggingface/transformers/pull/37658
-
-Install transformer from source: https://huggingface.co/docs/transformers/en/installation#install-from-source
-
+<!-- Install transformer from source: https://huggingface.co/docs/transformers/en/installation#install-from-source -->
+You need to install transformers from the following source to use this model:
+```shell
+git clone https://github.com/Ssukriti/transformers.git
+cd transformers
+git checkout granitemoe_hybrid_external_cleanup
+pip install -e .
+```
 <!-- Install the following libraries:
 
 ```shell