Update README.md

README.md

@@ -14,48 +14,6 @@ pipeline_tag: other
 
 StepNets one-step weather backbone: variable-aware embedding and a two-stage trunk, 69 ERA5-like variables, **1.5° grid (121×240 lat×lon in the paper)**.  
 
-## Loading
-
-Weights: `model.safetensors`. Hyperparameters: `config.json` (`init_args`).  
-Install the small **`sonny`** package (model code only; [github.com/jmj2316/Sonny](https://github.com/jmj2316/Sonny)) or the full `stormer` research tree if you already use it.
-
-```python
-from sonny import load_sonny_from_hub
-
-model = load_sonny_from_hub("Francismj/sonny", map_location="cuda")
-model.eval()
-```
-
-Or download the files and build `networks.sonny.Sonny(**init_args)` then `load_state_dict` (see `class_qualname` in `config.json`).
-
-## Google Colab
-
-Install `sonny` (clone or zip of the repo with `pyproject.toml`, packages `sonny/` and `networks/`).
-
-```text
-!pip install -q huggingface_hub safetensors timm pyyaml
-!pip install -q xformers
-!git clone https://github.com/jmj2316/Sonny.git sonny_src
-%cd sonny_src
-!pip install -q -e .
-%cd /content
-```
-
-```python
-from sonny import load_sonny_from_hub
-
-model = load_sonny_from_hub("Francismj/sonny", map_location="cuda")
-model.eval()
-```
-
-Private code: zip the `sonny` repo → upload in Colab → `pip install -e /content/unzipped_folder`.
-
-## Files
-
-- `config.json` — hyperparameters and variable list
-- `model.safetensors` — EMA ``ema_model_state_dict``
-- `normalization_note.txt` — reminder to use your local ``normalization_constants`` from the training repo for real inference
-
 ## Citation
 
 If you use this checkpoint or architecture, cite: