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l3cube-pune/marathi-fast-text-embedding
marathi-fast-text-embedding is a machine learning model from l3cube-pune. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
MahaFT is a Marathi fast text embedding model. It is a fast text model trained on L3Cube-MahaCorpus and other publicly available Marathi monolingual datasets. <br [dataset link] (https://github.com/l3cube-pune/Marathi…
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Updated Nov 5, 2023
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From the Hugging Face model README
MahaFT is a Marathi fast text embedding model. It is a fast text model trained on L3Cube-MahaCorpus and other publicly available Marathi monolingual datasets. <br> [dataset link] (https://github.com/l3cube-pune/MarathiNLP)
More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2202.01159)
@inproceedings{joshi-2022-l3cube,
title = "{L}3{C}ube-{M}aha{C}orpus and {M}aha{BERT}: {M}arathi Monolingual Corpus, {M}arathi {BERT} Language Models, and Resources",
author = "Joshi, Raviraj",
booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.wildre-1.17",
pages = "97--101",
}