transformers safetensors pegasus text2text-generation hunmaniser ai aidetection text-generation paraphrasing nlp en base_model:tuner007/pegasus_paraphrase base_model:finetune:tuner007/pegasus_paraphrase license:mit autotrain_compatible endpoints_compatible region:us
---
base_model:
- tuner007/pegasus_paraphrase
language:
- en
library_name: transformers
license: mit
pipeline_tag: text2text-generation
tags:
- hunmaniser
- ai
- aidetection
- text-generation
- paraphrasing
- nlp
- transformers
- pegasus
widget:
- text: The train was unusually empty as Aarav boarded it late one evening, the dim
    overhead lights casting long shadows. He settled into a corner seat, staring out
    at the fleeting city lights, when he noticed a leather-bound journal lying on
    the seat beside him. Curious, he opened it to find pages filled with beautiful
    sketches of places he’d never seen and short notes signed only with the name "S."
    Each entry felt like a glimpse into a stranger's soul—a story of travels, heartbreaks,
    and quiet moments of joy. As the train approached his stop, Aarav hesitated, then
    tucked the journal into his bag, determined to return it. What he didn’t realize
    was that finding the journal would lead him to a serendipitous encounter with
    the artist, someone who would change his life forever.
context: The train was unusually empty as Aarav boarded it late one evening, the dim
  overhead lights casting long shadows. He settled into a corner seat, staring out
  at the fleeting city lights, when he noticed a leather-bound journal lying on the
  seat beside him. Curious, he opened it to find pages filled with beautiful sketches
  of places he’d never seen and short notes signed only with the name "S." Each entry
  felt like a glimpse into a stranger's soul—a story of travels, heartbreaks, and
  quiet moments of joy. As the train approached his stop, Aarav hesitated, then tucked
  the journal into his bag, determined to return it. What he didn’t realize was that
  finding the journal would lead him to a serendipitous encounter with the artist,
  someone who would change his life forever.
---


# Humaneyes 
## Model Description

Humaneyes is an advanced text transformation model designed to convert AI-generated text into more human-like content and provide robust defense against AI content detection trackers. The model leverages sophisticated natural language processing techniques to humanize machine-generated text, making it indistinguishable from human-written content.

### Model Details
- **Developed by:** Eemansleepdeprived
- **Model type:** AI-to-Human Text Transformation
- **Primary Functionality:** 
  - AI-generated text humanization
  - AI tracker defense
- **Language(s):** English
- **Base Architecture:** Pegasus Transformer
- **Input format:** AI-generated text
- **Output format:** Humanized, natural-sounding text

## Key Capabilities
- Transforms AI-generated text to sound more natural and human-like
- Defeats AI content detection algorithms
- Preserves original semantic meaning
- Maintains coherent paragraph structure
- Introduces human-like linguistic variations

## Intended Use Cases
- Academic writing assistance
- Content creation and disguising AI-generated content
- Protecting writers from AI content detection systems
- Enhancing AI-generated text for more authentic communication

### Ethical Considerations
- Intended for creative and protective purposes
- Users should respect academic and professional integrity
- Encourages responsible use of AI-generated content
- Not designed to facilitate academic dishonesty

## Technical Approach
### Humanization Strategies
- Natural language variation
- Contextual rephrasing
- Introducing human-like imperfections
- Semantic preservation
- Stylistic diversification

### Anti-Detection Techniques
- Defeating AI content trackers
- Randomizing linguistic patterns
- Simulating human writing nuances
- Breaking predictable AI generation signatures

## Performance Characteristics
- High semantic similarity to original text
- Reduced AI detection probability
- Contextually appropriate transformations
- Minimal loss of original meaning

## Limitations
- Performance may vary based on input text complexity
- Not guaranteed to bypass all AI detection systems
- Potential subtle semantic shifts
- Effectiveness depends on input text characteristics

## Usage Example
```python
from transformers import PegasusTokenizer, PegasusForConditionalGeneration

tokenizer = PegasusTokenizer.from_pretrained('Eemansleepdeprived/Humaneyes')
model = PegasusForConditionalGeneration.from_pretrained('Eemansleepdeprived/Humaneyes')

ai_generated_text = "Your AI-generated text goes here."
inputs = tokenizer(ai_generated_text, return_tensors="pt")
outputs = model.generate(**inputs)
humanized_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
```

## Contact and Collaboration
For inquiries, feedback, or collaboration opportunities, contact:
- Email: eeman.majumder@gmail.com

## License
Released under the MIT License

## Disclaimer
Users are responsible for ethical use of the Humaneyes Text Humanizer. Respect academic and professional guidelines.