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Update app.py
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app.py
CHANGED
@@ -1,5 +1,5 @@
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import os
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os.environ["HF_FORCE_SAFE_SERIALIZATION"] = "1" # โ
safetensors๋ง ์ฌ์ฉํ๋๋ก ๊ฐ์
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import gradio as gr
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from transformers import VisionEncoderDecoderModel, ViTImageProcessor, AutoTokenizer
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@@ -11,7 +11,9 @@ import tempfile
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# โโโโโ ์ด๋ฏธ์ง ์บก์
๋ ๋ชจ๋ธ ๋ก๋ฉ โโโโโ
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caption_model = VisionEncoderDecoderModel.from_pretrained(
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"nlpconnect/vit-gpt2-image-captioning"
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)
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feature_extractor = ViTImageProcessor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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import os
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os.environ["HF_FORCE_SAFE_SERIALIZATION"] = "1" # ์ด๋ฏธ ์์ ๋ชจ๋ # โ
safetensors๋ง ์ฌ์ฉํ๋๋ก ๊ฐ์
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import gradio as gr
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from transformers import VisionEncoderDecoderModel, ViTImageProcessor, AutoTokenizer
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# โโโโโ ์ด๋ฏธ์ง ์บก์
๋ ๋ชจ๋ธ ๋ก๋ฉ โโโโโ
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caption_model = VisionEncoderDecoderModel.from_pretrained(
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"nlpconnect/vit-gpt2-image-captioning",
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use_safetensors=True, # โ
์ฌ๋ฐ๋ฅธ ์ต์
๋ช
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low_cpu_mem_usage=True # (์ต์
) ๋ฉ๋ชจ๋ฆฌ ์ ์ฝ
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)
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feature_extractor = ViTImageProcessor.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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tokenizer = AutoTokenizer.from_pretrained("nlpconnect/vit-gpt2-image-captioning")
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