Update README.md

README.md

@@ -230,10 +230,10 @@ def load_image(image_file):
     return image
 
 
-config = AutoConfig.from_pretrained("AIG-GenAI/Instella-VL-1B", trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("AIG-GenAI/Instella-VL-1B", config=config, trust_remote_code=True)
-processor = AutoProcessor.from_pretrained("AIG-GenAI/Instella-VL-1B", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("AIG-GenAI/Instella-VL-1B", trust_remote_code=True).to('cuda') # or 'cpu'
+config = AutoConfig.from_pretrained("amd/Instella-VL-1B", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("amd/Instella-VL-1B", config=config, trust_remote_code=True)
+processor = AutoProcessor.from_pretrained("amd/Instella-VL-1B", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("amd/Instella-VL-1B", trust_remote_code=True).to('cuda') # or 'cpu'
 model.eval()
   
 # For single image and text
@@ -356,7 +356,7 @@ for idx, o in enumerate(outs):
 | MLP | 6.3M | 2 | - | 2048 | - |
 | LM | 1.2B | 16 |	16 |	2048 |	- |
 
-We initialize the vision encoder from [CLIP-ViT-L/14@336](https://huggingface.co/openai/clip-vit-large-patch14-336) and initialize LM from [AMD OLMo 1B SFT](https://huggingface.co/AIG-GenAI/AMD-OLMo-1B-SFT)
+We initialize the vision encoder from [CLIP-ViT-L/14@336](https://huggingface.co/openai/clip-vit-large-patch14-336) and initialize LM from [AMD OLMo 1B SFT](https://huggingface.co/amd/AMD-OLMo-1B-SFT)
 
 ## Training Stages