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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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- agentlans/high-quality-english-sentences |
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language: |
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- en |
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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 English 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 English 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 English substitution ciphers and it outputs the alphabet used in encoding. |
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Example: |
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Encoded text: |
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**Hd adcdcwda yod drdqyn zk zsa boiluozzu.** |
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Plain text: |
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**We remember the events of our childhood.** |
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Alphabet (output): |
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**rcme...wi.fl.sh.nvu.d.b.to** |
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Here 'r' is number 1 in the alphabet and that is why we use 'a' instead of 'r' in encoding. |
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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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``` |
