metadata

license: mit
language:
  - en
base_model:
  - tuner007/pegasus_paraphrase
tags:
  - hunmaniser
  - ai
  - aidetection
  - text-generation
  - paraphrasing
  - nlp
  - transformers
  - pegasus
library_name: transformers
pipeline_tag: text2text-generation
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

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: [email protected]

License

Released under the MIT License

Disclaimer

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