Update README.md

README.md

@@ -22,10 +22,10 @@ import torch
 
 REPO_NAME = 'schuler/experimental-JP47D20'
 
-def load_model(repo_name):
-    tokenizer = LlamaTokenizer.from_pretrained(REPO_NAME, trust_remote_code=True)
-    generator_conf = GenerationConfig.from_pretrained(REPO_NAME)
-    model = AutoModelForCausalLM.from_pretrained(REPO_NAME, trust_remote_code=True, torch_dtype=torch.bfloat16, attn_implementation="eager")
+def load_model(local_repo_name):
+    tokenizer = LlamaTokenizer.from_pretrained(local_repo_name, trust_remote_code=True)
+    generator_conf = GenerationConfig.from_pretrained(local_repo_name)
+    model = AutoModelForCausalLM.from_pretrained(local_repo_name, trust_remote_code=True, torch_dtype=torch.bfloat16, attn_implementation="eager")
     # model.to('cuda')
     return tokenizer, generator_conf, model