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rigelbar/
tiny-digits

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Tiny Digits CNN (demo-only)

Toy 28×28 grayscale classifier (10 classes 0–9) for Hugging Face deployment tests. No training—weights are randomly initialized just to validate repo layout, Spaces, and Inference Endpoints.

Files

model.py — tiny CNN
model.safetensors — weights (create with python generate_weights.py)
inference.py — load → preprocess → predict
handler.py — Endpoint handler (EndpointHandler)
app.py — Gradio Space UI
requirements.txt, .gitattributes, LICENSE

Quickstart (local)

bash

pip install -r requirements.txt
python generate_weights.py
python app.py

Call via Hosted Inference API (if enabled) or Endpoint
# Replace with your endpoint URL or model API URL
API=https://api-inference.huggingface.co/models/ORG/REPO
curl -X POST "$API" \
  -H "Authorization: Bearer $HF_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputs": {"image_base64": "<PUT_BASE64_IMAGE_HERE>"}}'

rigelbar/tiny-digits

Tiny Digits CNN (demo-only)

Files

Quickstart (local)

rigelbar/
tiny-digits