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--- |
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library_name: transformers |
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tags: |
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- cryptology |
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- cipher |
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datasets: |
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- asimokby/Turkish-OSCAR-GEC |
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language: |
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- tr |
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base_model: |
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- google-t5/t5-base |
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license: apache-2.0 |
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--- |
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This project contains a text-to-text model designed to decrypt Turkish text encoded using a substitution cipher. |
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In a substitution cipher, each letter in the plaintext is replaced by a corresponding, unique letter to form the ciphertext. |
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The model leverages statistical and linguistic properties of Turkish to make educated guesses about the letter substitutions, |
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aiming to recover the original plaintext message. |
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This model is for monoalphabetic Turkish substitution ciphers and it outputs decoded text. |
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Example: |
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Encoded text: |
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**Wn cqwqp fqpöqgbatqj ckjxq çmxmçmvy rafhqça zgqjgaçkxnh.** |
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Decoded text: |
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**Bu sabah kahvaltıdan sonra yürüyüşe çıkmayı planlıyorum.** |
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Suggested Usage: |
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```py |
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#Load the model and tokenizer |
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cipher_text = "" #Encoded text here! |
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inputs = tokenizer(cipher_text, return_tensors="pt", padding=True, truncation=True, max_length=256).to(device) |
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outputs = model.generate(inputs["input_ids"], max_length=256) |
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decoded_text = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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``` |
