Update README.md

```python3

from diffusers import CVVAEModel, AutoencoderKL, UNet3DConditionModelAdapter, ControlNetModel3D, ControlNetModel
import torch
import time

device = torch.device("cuda:0")

vae = CVVAEModel.from_pretrained(
"/data2/onkar/cvvae/CV-VAE",
subfolder='vae3d',
torch_dtype=torch.float16
)
vae.to(device)
print(vae)
vae.requires_grad_(False)

```

README.md

@@ -1,3 +1,6 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+library_name: diffusers
+---