Initial commit: CTranslate2 INT8 quantized Whisper Tiny model

README.md

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+---
+language:
+- en
+license: mit
+tags:
+- whisper
+- ctranslate2
+- speech-recognition
+- automatic-speech-recognition
+library_name: ctranslate2
+---
+
+# Whisper Tiny - CTranslate2 (INT8 Quantized)
+
+This is a CTranslate2 converted version of OpenAI's Whisper Tiny model, quantized to INT8 for faster CPU inference.
+
+## Model Details
+
+- **Base Model**: openai/whisper-tiny
+- **Quantization**: INT8
+- **Framework**: CTranslate2
+- **Optimized for**: CPU inference
+
+## Usage
+
+### Install dependencies
+```bash
+pip install faster-whisper
+```
+
+### Python code
+```python
+from faster_whisper import WhisperModel
+
+# Load model
+model = WhisperModel("Kofi24/asr-whisper-tiny-ct2-int8", device="cpu", compute_type="int8")
+
+# Transcribe
+segments, info = model.transcribe("audio.mp3", language="en")
+
+for segment in segments:
+    print(f"[{segment.start:.2f}s -> {segment.end:.2f}s] {segment.text}")
+```
+
+## Performance
+
+- Faster inference than the original model
+- Optimized for CPU with INT8 quantization
+- Suitable for real-time transcription on CPU
+
+## Citation
+```bibtex
+@misc{whisper-ctranslate2,
+  author = {Your Name},
+  title = {Whisper Tiny CTranslate2 INT8},
+  year = {2025},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/Kofi24/asr-whisper-tiny-ct2-int8}}
+}
+```

config.json

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+}

model.bin

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