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README.md

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+---
+library_name: transformers
+base_model: facebook/mms-tts
+tags:
+- text-to-speech
+- vits
+- mms
+- multilingual
+- Open-Source
+- Mali
+- Bambara
+language:
+- bm
+language_bcp47:
+- bm-ML
+model-index:
+- name: bambara-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
+---
+
+# Bambara TTS
+
+Text-to-speech synthesis model for Bambara (Bamanankan), a language spoken by over 14 million people primarily in Mali.
+
+## Technical Specifications
+
+- **Architecture**: VITS (Variational Inference with adversarial learning for end-to-end TTS)
+- **Base Model**: Facebook/Meta MMS
+- **Size**: 145 MB
+- **Format**: PyTorch 
+- **Sampling Rate**: 16kHz
+- **Language**: Bambara (bm-ML)
+- **Performance**: Optimized for CPU (4GB RAM recommended)
+
+## Installation
+
+```
+pip install transformers torch soundfile
+```
+
+## Usage
+
+```python
+from transformers import VitsModel, AutoTokenizer
+import torch
+
+# Load model and tokenizer
+model = VitsModel.from_pretrained("sudoping01/bambara-tts")
+tokenizer = AutoTokenizer.from_pretrained("sudoping01/bambara-tts")
+
+# Prepare text and generate speech
+text = "An filɛ ni ye yɔrɔ minna ni an ye an sigi ka a layɛ yala an bɛ ka baara min kɛ ɛsike a kɛlen don ka Ɲɛ wa ?"
+inputs = tokenizer(text, return_tensors="pt")
+with torch.no_grad():
+    output = model(**inputs).waveform
+
+# Save output
+waveform = output.squeeze().cpu().numpy()
+sample_rate = model.config.sampling_rate
+import soundfile as sf
+sf.write("bambara_output.wav", waveform, sample_rate)
+```
+
+## Limitations
+
+- Limited handling of loanwords and code-switching with French
+- Variable performance across regional dialects
+- Requires standard orthography
+- Limited prosody and emotional expression
+
+## License
+
+CC BY-NC 4.0 (Attribution-NonCommercial)
+
+- Non-commercial use only
+- Attribution required for model authors and Meta
+- Use must respect Bambara language and culture
+
+## References
+
+```bibtex
+@misc{bambara-tts,
+  author = {sudoping01},
+  title = {Text-to-Speech Model for Bambara},
+  year = {2025},
+  publisher = {HuggingFace},
+  howpublished = {\url{https://huggingface.co/sudoping01/bambara-tts}}
+}
+```