Update README.md

README.md

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 # Geez Word2Vec Skipgram Model
 
-This repository contains a Word2Vec model trained on the TIGQA dataset using a custom tokenizer with SpaCy.
+This repository contains a Word2Vec model trained on the TIGQA dataset using a custom tokenizer with SpaCy. and The model can be used as part of the language-adaptive pretraining process and for embedding initialization.
 
 ## Usage
 Word2Vec static embeddings can be used to align or map the semantic relationships of pretrained model embeddings with the target language embeddings (specifically, embeddings generated by the Tigrinya tokenizer).