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