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README.md

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-license: other
-license_name: svector
-license_link: LICENSE
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+# SPTK-2
+
+**SPTK-2** is an open multilingual automatic speech recognition (ASR) model developed by **SVECTOR**.  
+It supports 99 languages and offers improved accuracy, timestamp precision, and energy efficiency compared to previous models.
+
+📄 Read the paper: [SPTK: A Framework for Universal Multilingual ASR (2025)](https://huggingface.co/SVECTOR-CORPORATION/SPTK-2/SPTK.pdf)
+
+---
+
+## 🧪 Example Usage
+
+```python
+from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
+import torchaudio
+
+processor = AutoProcessor.from_pretrained("SVECTOR-CORPORATION/SPTK-2")
+model = AutoModelForSpeechSeq2Seq.from_pretrained("SVECTOR-CORPORATION/SPTK-2")
+
+# Load and preprocess audio
+audio, sr = torchaudio.load("your_audio_file.mp3")
+inputs = processor(audio[0], sampling_rate=sr, return_tensors="pt")
+
+# Generate transcription
+with torch.no_grad():
+    predicted_ids = model.generate(inputs.input_values)
+
+# Decode output
+print(processor.batch_decode(predicted_ids, skip_special_tokens=True))
+```
+
+---
+
+## 📦 Model Details
+
+- Model type: Encoder-decoder
+- Architecture: E-Branchformer + Sparse MoE decoder
+- Languages: 99+
+- Supports transcription, translation, timestamps
+- Released: April 2025
+
+---
+
+## 📜 License
+
+This model is licensed under the **SVECTOR Proprietary License**.  
+For research or commercial use, please contact [licence@svector.co.in](mailto:licence@svector.co.in).
+
+---
+
+## 🔗 Related
+
+- 🌐 [SVECTOR Official Website](https://www.svector.co.in)