# Indian language processing

IndicBART-mr-test is a fine-tuned version of the ai4bharat/IndicBART model on an unknown dataset, primarily used for text generation tasks with support for Marathi.

Project Indus LLM is a groundbreaking open-source language model specifically designed for Hindi and its dialects, aiming to enhance natural language processing and generation capabilities in India's diverse linguistic applications.

This is a Malayalam BERT model trained on NLI datasets for sentence similarity calculation and feature extraction.

This is a Tamil BERT model trained on NLI datasets for sentence similarity computation and feature extraction.

This is a Kannada SBERT model fine-tuned on the STS dataset for calculating sentence similarity.

This is an OdiaSBERT model fine-tuned on STS dataset for Odia sentence similarity calculation

This is a Telugu SBERT model fine-tuned on STS dataset for calculating sentence similarity.

This is a Tamil SBERT model fine-tuned on the STS dataset for calculating sentence similarity.

This is a Gujarati SBERT model fine-tuned on STS dataset for sentence similarity calculation.

Marathi sentence BERT model trained on NLI dataset for sentence similarity calculation and feature extraction

MahaBERT is a Marathi BERT model fine-tuned based on a multilingual BERT model, suitable for Marathi natural language processing tasks.

This is an automatic speech recognition (ASR) model fine-tuned on Marathi based on the facebook/wav2vec2-large-xlsr-53 model, trained using partial data from the InterSpeech 2021 Marathi dataset.