Update app.py
Browse files
app.py
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@@ -1,10 +1,14 @@
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import gradio as gr
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from transformers import AutoTokenizer, GPTJForCausalLM
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import torch
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model_name = "rycont/kakaobrain__kogpt-6b-8bit"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = GPTJForCausalLM.from_pretrained(model_name, device_map="auto",
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def generate_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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import gradio as gr
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from transformers import AutoTokenizer, GPTJForCausalLM, BitsAndBytesConfig
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import torch
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model_name = "rycont/kakaobrain__kogpt-6b-8bit"
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# BitsAndBytesConfig 설정
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bnb_config = BitsAndBytesConfig(load_in_8bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = GPTJForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=bnb_config)
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def generate_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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