Upload README.md with huggingface_hub

README.md

@@ -14,18 +14,25 @@ nested Lambda — but Keras deserializes sub-models recursively and executes it
 - `README.md` — this file
 
 ## Reproduce
-> Use **Python 3.10+** (verified on Python 3.12 / TensorFlow 2.21 / Keras 3.14 / modelscan 0.8.8).
-> TensorFlow on the EOL Python 3.9 can abort at import on macOS arm64 (`mutex lock failed`),
-> which is unrelated to this issue. The clean venv below avoids it.
+Use **Python 3.10+** (verified on 3.12 / TensorFlow 2.21 / Keras 3.14 / modelscan 0.8.8).
+TensorFlow does not run on the EOL Python 3.9 — on macOS arm64 it aborts at import with
+`mutex lock failed`, which is unrelated to this issue.
 
 ```bash
-# Clean Python 3.10+ environment (so `python` is correct, not a system 3.9)
-python3.12 -m venv venv && source venv/bin/activate
+# 0) Get Python 3.10+ if needed:
+#    macOS:        brew install python@3.12
+#    Debian/Ubuntu: sudo apt-get install -y python3.12 python3.12-venv
+python3.12 --version                     # -> Python 3.12.x
+
+# 1) Clean virtual environment so `python` is 3.12, not the system 3.9
+python3.12 -m venv venv
+source venv/bin/activate                 # Windows: venv\Scripts\activate
+python --version                         # -> Python 3.12.x
 pip install 'modelscan[tensorflow]' tensorflow keras
 
-# 1) scanner says it is safe:
+# 2) Scanner says it is safe:
 modelscan -p model.keras                 # ->  No issues found
-# 2) loading it executes code:
+# 3) Loading it executes code:
 python -c "import keras; keras.saving.load_model('model.keras', safe_mode=False, compile=False)"
 ls keras_poc_executed.txt                # marker proves code ran on load
 # or run the full demo (flat=detected, nested=bypass):