Automatic Speech Recognition
Transformers
Safetensors
Bhojpuri
Hindi
whisper
bhojpuri
indic
low-resource
Eval Results (legacy)
Instructions to use Aditya109/whisper-small-bhojpuri-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya109/whisper-small-bhojpuri-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aditya109/whisper-small-bhojpuri-merged")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aditya109/whisper-small-bhojpuri-merged") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aditya109/whisper-small-bhojpuri-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Use the official Vaani citation from the dataset page
Browse files
README.md
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model is released under **CC-BY-4.0**. No Vaani audio or transcripts are
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Attribution for the dataset
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model is released under **CC-BY-4.0**. No Vaani audio or transcripts are
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redistributed here.
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Attribution for the dataset, as requested on its
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[dataset page](https://huggingface.co/datasets/ARTPARK-IISc/Vaani-transcription-part):
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```bibtex
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@misc{pulikodan2026vaanicapturinglanguagelandscape,
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title={VAANI: Capturing the language landscape for an inclusive digital India},
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author={Sujith Pulikodan and Abhayjeet Singh and Agneedh Basu and Nihar Desai and Pavan Kumar J and Pranav D Bhat and Raghu Dharmaraju and Ritika Gupta and Sathvik Udupa and Saurabh Kumar and Sumit Sharma and Vaibhav Vishwakarma and Visruth Sanka and Dinesh Tewari and Harsh Dhand and Amrita Kamat and Sukhwinder Singh and Shikhar Vashishth and Partha Talukdar and Raj Acharya and Prasanta Kumar Ghosh},
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year={2026},
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eprint={2603.28714},
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archivePrefix={arXiv},
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primaryClass={eess.AS},
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url={https://arxiv.org/abs/2603.28714}
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}
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```
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