Update README for release

README.md

@@ -80,7 +80,7 @@ import torch
 from PIL import Image
 from transformers import AutoModel, CLIPImageProcessor
 
-hf_repo = "nvidia/C-RADIOv2-VLM-H-RC3"
+hf_repo = "nvidia/C-RADIOv2-VLM-H"
 
 image_processor = CLIPImageProcessor.from_pretrained(hf_repo)
 model = AutoModel.from_pretrained(hf_repo, trust_remote_code=True)
@@ -226,4 +226,4 @@ Field                                               |  Response
 Model Application(s):                               |  Generation of visual embeddings
 Describe the life critical impact (if present).   |  Not Applicable
 Use Case Restrictions:                              |  Abide by NVIDIA Open Model License Agreement
-Model and dataset restrictions:            |  The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to.
+Model and dataset restrictions:            |  The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to.