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Is there any plan to restructure the code to be uniform to use it with Llama2/API like (gpt-3.5-turbo, gpt-4) to use this PDF-to-text in any hardware.
https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L180 https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L122 https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L173
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I have not much experience in threads and embedding, but it would be cool to implement them someday.
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Is there any plan to restructure the code to be uniform to use it with Llama2/API like (gpt-3.5-turbo, gpt-4) to use this PDF-to-text in any hardware.
https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L180
https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L122
https://github.com/Dicklesworthstone/llama2_aided_tesseract/blob/5719a9aede6b0666f6f08d239cac7b1550298b79/tesseract_with_llama2_corrections.py#L173
The text was updated successfully, but these errors were encountered: