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metadata
title: Davit6174 Georgian Distilbert Mlm
emoji: 🐢
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 3.35.2
app_file: app.py
pinned: false

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.

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