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README.md

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+---
+language: am
+license: mit
+tags:
+- gpt2
+- amharic
+- onnx
+- quantized
+- q8
+---
+
+# GPT-2 Amharic - Quantized ONNX (Q8)
+
+This is a quantized version of rasyosef/gpt2-small-amharic converted to ONNX with 8-bit quantization.
+
+## Model Size
+- Original PyTorch: ~550 MB
+- FP32 ONNX: 130.83 MB
+- Q8 ONNX: 34.74 MB (93.7 percent smaller)
+
+## Usage
+
+```python
+import onnxruntime as ort
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained('bennysee/gpt2-amharic-onnx-q8')
+session = ort.InferenceSession('bennysee/gpt2-amharic-onnx-q8/model_q8.onnx')
+
+text = 'ሰላም'
+inputs = tokenizer(text, return_tensors='np')
+outputs = session.run(None, {'input_ids': inputs['input_ids']})
+```
+
+## Files
+- model_q8.onnx (33.24 MB) - Quantized model
+- tokenizer.json - Tokenizer vocabulary
+- tokenizer_config.json - Tokenizer config