Model Card for Telugu BERT Model
This model is a BERT-based language model trained for Masked Language Modeling (MLM) in Telugu. It is designed to understand and generate Telugu text effectively.
Model Details
Model Description
Developed by: MATHI
Model type: Transformer-based Masked Language Model (MLM)
Language(s) (NLP): Telugu
License: [MIT, Apache 2.0, or your chosen license]
Model Sources
Repository: [GitHub/Hugging Face Model Repo]
Paper [optional]: [If applicable]
Demo [optional]: Colab Notebook
Uses
Direct Use
This model can be used for:
Text completion in Telugu
Fill-mask prediction (predict missing words in a sentence)
Pretraining or fine-tuning for Telugu NLP tasks
Downstream Use
Fine-tuned versions of this model can be used for:
Named Entity Recognition (NER)
Sentiment Analysis
Machine Translation
Text Summarization
Out-of-Scope Use
Not suitable for real-time dialogue generation
Not trained for code-mixing (Telugu + English)
Bias, Risks, and Limi…
