Update model card

README.md

@@ -29,14 +29,12 @@ Install the [code](https://github.com/Prism-WAM/PrismWAM), then from the reposit
 
 ```bash
 hf download THUSI-Lab/PrismWAM --include "robotwin/*" --local-dir weights
-hf download Wan-AI/Wan2.2-TI2V-5B --include "models_t5_umt5-xxl-enc-bf16.pth" "google/umt5-xxl/*" \
-  --local-dir weights/Wan-AI/Wan2.2-TI2V-5B   # text encoder
 ```
 
 ```python
 from prismwam import load_pretrained
 
-policy = load_pretrained("robotwin")
+policy = load_pretrained("robotwin")   # also fetches the T5 text encoder on first use
 observation["prompt"] = policy.format_prompt("beat the block with the hammer")
 out = policy.predict(observation, seed=0)        # out["action"]: 32 x 14
 ```