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---
license: mit
library_name: programasweights
tags:
- onnx
- neural-programs
- prefix-tuning
---
# paw-interpreter-onnx
ONNX runtime models for ProgramAsWeights.
## Model Files
**Core (always downloaded):**
- `text_embeddings.onnx` - Text tokenizer embeddings
- `interpreter.onnx` - Main interpreter model
- `tokenizer/` - Fast tokenizer
**Optional (lazy loaded):**
- `image_encoder.onnx` - Image encoder (CLIP + projection) - only downloaded when using image inputs
## Usage
```python
import programasweights as paw
# Text-only program (no Pillow needed!)
fn = paw.function("abc123")
result = fn("Extract emails: [email protected]")
# With images (requires: pip install programasweights[images])
from PIL import Image
img = Image.open("photo.jpg")
result = fn("Count apples:", img)
```
## Installation
```bash
# Base install (text-only, ~70MB)
pip install programasweights
# With image support (~85MB)
pip install programasweights[images]
```
## Model Details
- Base model: Qwen2-0.5B
- Runtime: ONNX (lightweight, fast)
- Input: .paw files (prefix KV cache)
- Output: Generated text
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