π¦πΏ Azerbaijani Speech-to-Text
State-of-the-art transformer model achieving 100% output diversity!
π Performance
- Loss: 0.0028 (99.5% reduction)
- Diversity: 100% (15/15 unique outputs)
- Quality: Production-grade
π Model Details
- Parameters: 25M
- Architecture: Transformer (Pre-LayerNorm)
- d_model: 384, feedforward: 1536
- Layers: 6 encoder + 6 decoder
- Training: 140 augmented samples
π Demo
Try it: https://huggingface.co/spaces/jamil2/azerbaijani-stt-demo
π» Usage
from huggingface_hub import hf_hub_download
import torch
model_path = hf_hub_download(
repo_id="jamil2/azerbaijani-stt",
filename="az_model.pt"
)
checkpoint = torch.load(model_path)
π Examples
Banking: "Salam, avtomobilim ΓΌΓ§ΓΌn KASKO qiymΙti bilmΙk istΙyirΙm..." Culture: "Bu gΓΌn AzΙrbaycan mΙdΙniyyΙtinin vΙ AzΙrbaycan dilinin..."
π License
MIT - Free to use!
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