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- Update README.md (300c3b9eaa6a81d9e452ff1f0ae452e462501199)

README.md

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+The Georgian Language Model is a pretrained language model specifically designed for understanding and generating text in the Georgian language. It is based on the DistilBERT-base-uncased architecture and has been trained on the MC4 dataset, which consists of a large collection of multilingual web documents.
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Key Features:
+- DistilBERT-base-uncased architecture optimized for performance and efficiency.
+- Trained on the preprocessed Georgian text from MC4 dataset.
+- Supports various natural language processing (NLP) tasks such as text classification, named entity recognition, sentiment analysis, and language generation.
+- Can be fine-tuned on task-specific datasets or used as a feature extractor for transfer learning.
+- Suitable for applications in the Georgian language domain, including chatbots, language understanding, and text generation.
+
+Please note that the model may have limitations, and it is recommended to evaluate its performance on specific tasks and fine-tune it as needed.
+
+For more information and code examples, please refer to the README file and documentation available in the model repository at https://huggingface.co/Davit6174/georgian-distilbert-mlm