Update README.md

README.md

@@ -8,4 +8,109 @@ tags:
 - hunmaniser
 - ai
 - aidetection
----
+- text-generation
+- paraphrasing
+- nlp
+- transformers
+- pegasus
+library_name: transformers
+pipeline_tag: text2text-generation
+---
+
+=
+
+# Model Card: Humaneyes Text Paraphraser
+
+## Model Description
+
+Humaneyes is an advanced text paraphrasing model built using the Pegasus transformer architecture. The model is designed to generate high-quality, contextually-aware paraphrases while preserving the original text's paragraph structure and semantic meaning.
+
+### Model Details
+- **Developed by:** Eemansleepdeprived
+- **Model type:** Text-to-text generation (Paraphrasing)
+- **Language(s):** English
+- **Base model:** Google Pegasus Large
+- **Input format:** Plain text
+- **Output format:** Paraphrased text
+
+## Intended Use
+
+### Primary Use Cases
+- Academic writing: Helping researchers and students rephrase text
+- Content creation: Assisting writers in generating alternative text variations
+- Language learning: Providing examples of different ways to express ideas
+
+### Potential Limitations
+- May not perfectly preserve highly technical or domain-specific language
+- Performance can vary depending on input text complexity
+- Not recommended for professional legal or medical document translation
+
+## Performance and Evaluation
+
+### Key Features
+- Preserves paragraph structure
+- Maintains semantic meaning
+- Handles various text lengths and complexities
+- Supports sentence-level paraphrasing
+
+### Evaluation Metrics
+- Semantic similarity
+- Readability
+- Grammatical correctness
+
+
+## Training Data
+
+### Training Methodology
+- Base model: Trained on a diverse corpus of English text
+- Fine-tuning: Specific details of paraphrasing fine-tuning
+
+### Dataset Characteristics
+- Diverse text sources
+- Multiple domains and writing styles
+
+## Ethical Considerations
+
+### Bias and Fairness
+- Regular assessments for potential biases in paraphrasing
+- Commitment to continuous improvement of model fairness
+
+### Usage Guidelines
+- Intended for supportive, creative purposes
+- Not designed to replace original authorship
+- Encourage proper attribution and original thinking
+
+## Limitations and Potential Biases
+
+- May occasionally produce text that diverges significantly from the original
+- Could introduce subtle semantic shifts
+- Performance may vary across different text domains
+
+## How to Use
+
+### Example Usage
+
+```python
+from transformers import PegasusTokenizer, PegasusForConditionalGeneration
+
+tokenizer = PegasusTokenizer.from_pretrained('Eemansleepdeprived/Humaneyes')
+model = PegasusForConditionalGeneration.from_pretrained('Eemansleepdeprived/Humaneyes')
+
+input_text = "Your original text goes here."
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+paraphrased_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+```
+
+## Contact and Collaboration
+
+For questions, feedback, or collaboration opportunities, please contact Eemansleepdeprived at eeman@example.com.
+
+## Citation
+
+If you use this model, please cite:
+*(Add citation information if applicable)*
+
+## License
+
+This model is released under the MIT License.