pulkitmehtawork
		
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Fill mask modern bert
Browse files- app.py +28 -0
 - requirements.txt +4 -0
 
    	
        app.py
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            # app.py
         
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            import torch
         
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            from transformers import pipeline
         
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            import gradio as gr
         
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            # Initialize the model pipeline
         
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            pipe = pipeline(
         
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                "fill-mask",
         
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                model="answerdotai/ModernBERT-base",
         
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                torch_dtype=torch.bfloat16,
         
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            )
         
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            # Function to run the model
         
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            def fill_mask(input_text):
         
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                return pipe(input_text)
         
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            # Set up the Gradio interface
         
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            iface = gr.Interface(
         
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                fn=fill_mask, 
         
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                inputs="text", 
         
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                outputs="json",
         
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                title="Mask Filling with ModernBERT",
         
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                description="Enter a sentence with a [MASK] token, and the model will predict the missing word."
         
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            )
         
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            # Launch the interface
         
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            iface.launch()
         
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        requirements.txt
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            torch
         
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            transformers @ git+https://github.com/huggingface/transformers.git
         
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            gradio
         
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