Update README.md

README.md

@@ -1,29 +1,17 @@
----
 license: other
 license_name: resi-exclusive
 license_link: https://huggingface.co/resi-ai/model-license/blob/main/LICENSE
----
-
-# RESI Subnet 46 — tabular price model (ONNX)
-
-Trained with the RESI tabular pipeline (`scripts/train_resi_tabular.py`, XGBoost backend). Static ONNX export for validator inference.
-
-## Files
-
-| File | Role |
-|------|------|
-| `model.onnx` | Required — single float32 input `(batch, N_features)`, output `(batch, 1)` USD prediction. |
-| `feature_config.json` | Declares feature column order and count `N_features` (must match ONNX input size). |
-| `LICENSE` | RESI proprietary model license (canonical text; do not edit). |
-| `extrinsic_record.json` | **Add after** `miner-cli submit` — extrinsic id + hotkey from CLI output. |
-
-Optional local-only artifacts (do **not** need to be on Hugging Face): `xgboost_model.json`, `xgboost_train_meta.json`.
-
-## Setup checklist
-
-1. Upload `model.onnx`, `feature_config.json`, `LICENSE`, and this `README.md` to the repo root.
-2. Run `miner-cli submit` with the **same** local `model.onnx` bytes you uploaded.
-3. Copy `extrinsic_record.json.template` → `extrinsic_record.json`, fill in `extrinsic` and `hotkey`, upload to repo root.
-4. Make the repository **public** before validator download.
-
-See `docs/MINER.md` in [RESI-models](https://github.com/resi-labs-ai/RESI-models).
+tags:
+  - real-estate
+  - onnx
+  - bittensor
+  - resi
+
+RESI Real Estate Price Prediction Model
+ONNX model for US residential real estate price prediction.
+
+Model Details
+Input: 79 float32 features (property attributes, location, census data)
+Output: Predicted price in USD
+Format: ONNX (compatible with onnxruntime 1.20.1)
+License: MIT