docs: advanced model card (Armenian SpeechT5)

README.md

@@ -0,0 +1,54 @@
+---
+language:
+  - hy
+license: mit
+base_model: Edmon02/TTS_NB_2
+tags:
+  - speecht5
+  - onnx
+  - text-to-speech
+  - armenian
+  - hy-am
+  - tts
+pipeline_tag: text-to-speech
+library_name: transformers
+inference: true
+model_name: Armenian SpeechT5 ONNX
+---
+
+# Armenian SpeechT5 — ONNX export (`TTS_NB_ONNX`)
+
+ONNX export of the SpeechT5 encoder/decoder for **faster or edge inference** (ONNXRuntime, mobile, C++). Pair with HiFi-GAN vocoder separately.
+
+## Files
+
+| File | Role |
+|------|------|
+| `encoder_model.onnx` | Text → hidden states |
+| `decoder_model.onnx` | Autoregressive mel decoder |
+| `decoder_with_past_model.onnx` | Decoder with KV cache |
+| `decoder_postnet_and_vocoder.onnx` | Postnet (vocoder may still be separate) |
+| `spm_char.model` | SentencePiece tokenizer |
+| `config.json` / `preprocessor_config.json` | Model config |
+
+## When to use
+
+- ONNXRuntime deployment
+- Environments without full PyTorch stack
+- Latency-sensitive inference pipelines
+
+For PyTorch + Hugging Face, prefer [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_hy) or [Edmon02/TTS_NB_2](https://huggingface.co/Edmon02/TTS_NB_2).
+
+## Source checkpoint
+
+Exported from [Edmon02/TTS_NB_2](https://huggingface.co/Edmon02/TTS_NB_2) (verify export date in commit history).
+
+## Limitations
+
+- ONNX export may not cover full HF `generate_speech` API — validate your runtime graph
+- Speaker embeddings must be supplied consistently with training
+- Re-export when `TTS_NB_2` architecture or opset changes
+
+## License
+
+MIT