Update app.py

app.py

@@ -23,8 +23,8 @@ languages = [
 ]
 
 tokenizer = AutoTokenizer.from_pretrained("aixsatoshi/Honyaku-13b")
-model = AutoModelForCausalLM.from_pretrained("aixsatoshi/Honyaku-13b", torch_dtype=torch.float16,device_map="auto")
-#model = model.to('cuda:0')
+model = AutoModelForCausalLM.from_pretrained("aixsatoshi/Honyaku-13b", torch_dtype=torch.float16)
+model = model.to('cuda:0')
 
 class StopOnTokens(StoppingCriteria):
     def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> bool: