Update README.md

README.md

@@ -27,21 +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 -->
+<!-- We have a huggingface PR which is yet to be merged. -->
+HuggingFace PR: https://github.com/huggingface/transformers/pull/37658 
 
-<!-- Install transformer from source: https://huggingface.co/docs/transformers/en/installation#install-from-source -->
-While the native support of this model in Hugging Face Transformers is pending ([PR](https://github.com/huggingface/transformers/pull/37658)), you need to install transformers from the following source to use this model:
+Install transformer from source: https://huggingface.co/docs/transformers/en/installation#install-from-source
+<!-- While the native support of this model in Hugging Face Transformers is pending ([PR](https://github.com/huggingface/transformers/pull/37658)), 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