Automatic Speech Recognition
Transformers
Safetensors
Hindi
whisper
speech-recognition
hindi
hinglish
Instructions to use MmeOG/MME_STT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MmeOG/MME_STT_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MmeOG/MME_STT_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MmeOG/MME_STT_Model") model = AutoModelForSpeechSeq2Seq.from_pretrained("MmeOG/MME_STT_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update LICENSE
Browse files
LICENSE
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MME Proprietary Model License
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Copyright © 2026 Make My Education Pvt. Ltd. All rights reserved.
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This repository contains proprietary model files and associated materials
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owned by Make My Education Pvt. Ltd., or used under applicable third-party
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licenses.
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Access to this private repository is restricted to authorized users.
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Except where expressly authorized in writing by the applicable rights holder
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or permitted by applicable law, no person may copy, redistribute, publish,
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sublicense, or commercially exploit these materials.
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Third-party models, datasets, software, and other components remain subject
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to their respective licenses and terms.
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Access to this repository does not transfer ownership of the model or grant
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rights beyond those expressly authorized.
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For permissions and inquiries, contact: contact@makemyeducation.com
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