Update README.md

README.md

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----
-library_name: transformers
-base_model: facebook/mms-tts
-tags:
-- text-to-speech
-- vits
-- mms
-- multilingual
-- Open-Source
-- Mali
-- MALIBA-AI
-language:
-- bm  
-- son 
-- dgc 
-- fuf
-- bbo 
-- tmh 
-language_bcp47:
-- bm-ML  
-- son-ML 
-- dgc-ML 
-- fuf-ML 
-- bbo-ML 
-- tmh-ML 
-model-index:
-- name: malian-tts
-  results:
-  - task:
-      name: text-to-speech 
-      type: speech-synthesis
-    metrics:
-    - name: Subjective Quality
-      type: MOS
-      value: "N/A"
-pipeline_tag: text-to-speech
-license: cc-by-nc-4.0
----
-
-# Model Card for Model ID
-
-
-# MALIBA TTS: Text-to-Speech Models for Six Malian Languages 🇲🇱
-
-## Table of Contents
-- [Introduction](#introduction)
-- [Technical Specifications](#technical-specifications)
-- [Installation](#installation)
-- [Usage](#usage)
-- [Limitations](#limitations)
-- [References](#references)
-- [License](#license)
-- [Contributing](#contributing)
-
-## Introduction
-MALIBA TTS is a collection of text-to-speech models for six Malian languages. These models represent a significant advancement for digital accessibility of Malian languages.
-
-**Key Points:**
-- Models available for 6 languages: **Bambara, Boomu, Dogon, Pular, Songhoy, and Tamasheq**
-- Based on VITS architecture and Meta's MMS model
-- Optimized for resource-constrained environments
-- Preserves the linguistic authenticity of Malian languages
-
-## Technical Specifications
-
-### Model Specifications
-- **Architecture**: VITS (Variational Inference with adversarial learning for end-to-end TTS)
-- **Base Model**: Meta's MMS (Massively Multilingual Speech)
-- **Model Size**: 145 MB per language
-- **Format**: PyTorch 
-- **Sampling Rate**: 16kHz
-- **Audio Encoding**: 16-bit PCM
-
-### Performance
-- **Inference**: Optimized to run on CPU
-- **Inference Time**: Varies based on text length and language
-- **Memory Requirements**: ~4GB RAM recommended
-
-## Installation
-```
-        Coming soon
-```
-
-###  Usage
-
-```python
-        coming soon 
-```
-
-## Limitations
-- Reduced performance on very long phrases (manual segmentation recommended)
-- Quality varies by language and dialect
-- French or English loanwords may have inaccurate pronunciation 
-- Limited support for numbers and dates
-- The model performs best with grammatically correct texts
-
-## References
-```bibtex
-@misc{malian-tts,
-  author = {MALIBA-AI},
-  title = {Text-to-Speech Models for Six Malian Languages},
-  year = {2025},
-  publisher = {HuggingFace},
-  howpublished = {\url{https://huggingface.co/MALIBA-AI/malian-tts}}
-}
-
-@article{kim2021conditional,
-  title={Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech},
-  author={Kim, Jaehyeon and Kong, Jungil and Son, Juhee},
-  journal={International Conference on Machine Learning},
-  year={2021}
-}
-
-@article{meta2023mms,
-  title={Scaling Speech Technology to 1,000+ Languages},
-  author={A. Pratap and others},
-  journal={arXiv preprint arXiv:2305.13516},
-  year={2023}
-}
-```
-
-## License
-This project is licensed under CC BY-NC 4.0 (Attribution-NonCommercial).
-
-### Terms of Use
-- Users agree to use the model in a way that respects Malian languages and culture.
-- We encourage the use of these models to develop solutions that improve digital accessibility for speakers of Malian languages.
-- Any use of the models must acknowledge MALIBA-AI as original creator.
-- Commercial usage is not allow.
-
-## Contributing
-MALIBA TTS is a project part of the MALIBA-AI initiative with the mission "No Malian Language Left Behind." We welcome contributions from:
-
-- **Language Experts**: To improve the quality and accuracy of the models
-- **Developers**: To create applications using these models
-- **Researchers**: To explore technical improvements and optimizations
-- **Data Contributors**: To enrich the training data
-
-To contribute, please visit [MALIBA-AI](https://huggingface.co/MALIBA-AI) or contact [coming soon]directly.
-
----
-
-**MALIBA-AI: Empowering Mali's Future Through Community-Driven AI Innovation**
-
-*"No Malian Language Left Behind"*