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Fine-Tuned GPT-2 on GDPR & EU AI Act 🚀

This model is a fine-tuned version of GPT-2 on a legal dataset, specifically GDPR (General Data Protection Regulation) and EU AI Act.

📌 Model Details

Base Model: GPT-2
Fine-tuned on: GDPR and EU AI Act text corpus
Purpose: Generates legal text related to GDPR and AI regulations
Max Tokens: 512

📖 Dataset

The model has been trained on official GDPR and EU AI Act documents, extracted from legal PDFs.

🚀 How to Use

To generate text using this model, use the following Python snippet:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "sssdddwd/Fine-Tuned-GPT2-legal"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example legal text generation
input_text = "According to GDPR, personal data processing should be"
inputs = tokenizer(input_text, return_tensors="pt")
output = model.generate(**inputs, max_length=100)

# Print output
print(tokenizer.decode(output[0], skip_special_tokens=True))

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Safetensors

Model size

0.1B params

Tensor type

F32

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