Update README.md

Removed incorrect usability code.

README.md

@@ -94,32 +94,6 @@ The model was trained in three phases using the [nanochat](https://github.com/ka
 
 This model requires the `nanochat` library to run, as it uses a custom architecture implementation optimized for educational clarity and hackability.
 
-```python
-import torch
-from nanochat.gpt import GPT, GPTConfig
-from nanochat.tokenizer import RustBPETokenizer
-
-# 1. Load Configuration
-# (Ensure you have meta.json and tokenizer.pkl downloaded)
-import json
-with open("meta.json", "r") as f:
-    config = json.load(f)["model_config"]
-
-# 2. Initialize Model
-model = GPT(GPTConfig(**config))
-
-# 3. Load Weights
-sd = torch.load("model.pt", map_location="cpu", weights_only=True)
-# Clean up compilation prefixes if present
-sd = {k.replace("_orig_mod.", ""): v for k, v in sd.items()}
-model.load_state_dict(sd)
-model.eval()
-
-# 4. Generate
-# ... (Requires tokenizer loading and Engine setup, see app.py in the Space)
-```
-
-
 ## License
 
 MIT