Update app.py

app.py

@@ -10,14 +10,14 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-DESCRIPTION = "# Sakalti/anchobi-4b"
+DESCRIPTION = "# wasser"
 DESCRIPTION += "\n<p>現在の環境に合わせて最適化されています。</p>"
 
 MAX_MAX_NEW_TOKENS = 2048
 DEFAULT_MAX_NEW_TOKENS = 1024
 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "32768"))
 
-model_id = "Sakalti/anchobi-4b"
+model_id = "sakaltcommunity/wasser-4b"
 if torch.cuda.is_available():
     model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
 else: