This model is part of the Open Paws initiative to develop AI systems aligned with animal liberation and advocacy principles. Designed to support advocates, educators, and researchers working toward a more compassionate world for all animals.

Model Details

Model Type: Ranking Model
Model Size: Compact (under 1B parameters)
Architecture: Transformer-based
Training Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0

Intended Use

Primary Applications

Content quality assessment for animal advocacy
Message effectiveness scoring
Preference modeling for advocacy strategies
Performance evaluation of educational materials

Ethical Guidelines

✅ Supporting animal welfare and rights advocacy
✅ Educational content about animal liberation
✅ Ethical decision-making frameworks
❌ Content that promotes animal exploitation
❌ Justifying harm to sentient beings

Usage

Installation

pip install transformers torch

Basic Usage

python

from transformers import AutoModel, AutoTokenizer
import torch

# Load model and tokenizer
model_name = "open-paws/cultural_sensitivity_prediction_shortform"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

# Score content for animal advocacy alignment
content = "Plant-based diets reduce animal suffering significantly"
inputs = tokenizer(content, return_tensors="pt")
score = model(**inputs).logits
print(f"Advocacy alignment score: {score.item():.3f}")

Community and Contributions

Organization: Open Paws - Making AI an ally to animals
Website: openpaws.ai
Community: Join our mission to use AI for animal liberation
Issues: Report issues via HuggingFace discussions

Model Card Contact

For questions about this model, please reach out via:

HuggingFace Discussions: open-paws/cultural_sensitivity_prediction_shortform
Organization Page: Open Paws

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