the_poli
the_poli is a transformer-based NLP classification model developed as part of the s0m3m0 research project.
The model is designed to analyse political and social-media-related text and produce structured predictions for analytical and experimental purposes.
This repository contains only the trained model artifacts (weights and configuration).
The source code and data pipeline are maintained separately.
Model Description
- Model type: Transformer-based text classification model
- Framework: Hugging Face Transformers
- Language: English (primary)
- Domain: Political and social media text analysis
The model focuses on extracting patterns and signals from text rather than making authoritative or real-world decisions.
Intended Use
The model is intended for:
- Academic and research experimentation
- NLP pipeline development
- Social media text analysis
- Educational demonstrations
Not Intended For
- High-stakes decision making
- Political persuasion or targeting
- Surveillance, profiling, or enforcement
- Production systems without extensive validation
Usage Example
from transformers import AutoTokenizer, AutoModelForSequenceClassification
model_id = "d42kw01f/the_poli"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)
text = "Example political text for analysis"
inputs = tokenizer(text, return_tensors="pt", truncation=True)
outputs = model(**inputs)
Limitations & Biases
- Performance depends heavily on the training dataset
- May reflect biases present in source data
- Not robust to domain shifts or adversarial inputs
- Predictions should be interpreted as probabilistic signals, not facts
Ethical Considerations
This model is released strictly for research and educational use. Users are responsible for:
- Complying with platform terms of service
- Respecting data privacy and ethical boundaries
- Avoiding harmful, misleading, or unethical applications
Related Project
- GitHub (codebase): https://github.com/d42kw01f/s0m3m0
- Project name: s0m3m0
Author
Dakshitha Navodya Perera
AI • Cybersecurity • Data Engineering
Sri Lanka
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