Indic BERT V

Indic BERT V1 is a BERT-based multilingual language model developed by AI4Bharat, designed to handle 11 Indic languages (Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu) and Indian-English. It is part of the Indic NLP initiative aimed at advancing natural language processing for Indian languages. The model is built on the Transformer architecture and is pre-trained on large-scale Indic corpora, enabling it to understand and generate text across these languages effectively. Indic BERT V1 is intended for researchers, developers, and organizations working on Indic language NLP tasks such as text classification, named entity recognition, sentiment analysis, and machine translation. It provides a strong baseline for fine-tuning on specific downstream tasks. The model is available via the Hugging Face model hub, making it easy to integrate into existing workflows. One of its key differentiators is its focus on Indian languages, which are often underrepresented in multilingual models. It offers a dedicated representation for these languages, potentially outperforming larger multilingual models like mBERT on Indic language tasks. However, for the latest version, users are directed to Indic BERT v2, which includes improvements and broader coverage. Indic BERT V1 is free and open-source under the MIT License. It is available as a pre-trained model that can be fine-tuned on custom datasets. The model is not a standalone product with a user interface; it is a tool for developers and researchers who need to process Indic text.