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Text_translation / app.py

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Using smaller m2m100 model
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Reducing heights of text areas
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Using gr.Dropdown()
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Adding an 'import spaces' statement
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Restructuring. Remove examples.
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Switching text chunking and using 7b instead of 3b
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Removing m2m100 and quantizing MADLAD in 8-bit (as GPU resources limited)
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Add MADLAD model
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Update app.py
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Update app.py
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Update app.py
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Update app.py
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Update app.py
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Update app.py
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Add the M2M100 model from Facebook
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Add spaces
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Upload app.py
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Update app.py
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Back to using GPU...
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Using CPU only...
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Initial commit: bilingual models, multilingual mode, Google Translate
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Loading in 8bits
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Using BitsAndBytesConfig
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Choosing the 10b model loaded in 8 bits
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Update app.py
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Update app.py
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Update app.py
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torch.compile()
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Initial version
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