Update README.md

README.md

@@ -6,8 +6,8 @@
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("BBuf/rwkv-5-world-1b5", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("BBuf/rwkv-5-world-1b5", trust_remote_code=True)
 
 text = "\nIn a shocking finding, scientist discovered a herd of dragons living in a remote, previously unexplored valley, in Tibet. Even more surprising to the researchers was the fact that the dragons spoke perfect Chinese."
 prompt = f'Question: {text.strip()}\n\nAnswer:'
@@ -30,8 +30,8 @@ Answer: The researchers were shocked to discover that the dragons in the valley
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(0)
-tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("BBuf/rwkv-5-world-1b5", trust_remote_code=True).to(0)
+tokenizer = AutoTokenizer.from_pretrained("BBuf/rwkv-5-world-1b5", trust_remote_code=True)
 
 text = "请介绍北京的旅游景点"
 prompt = f'Question: {text.strip()}\n\nAnswer:'