| | --- |
| | license: apache-2.0 |
| | base_model_type: llama |
| | tags: |
| | - animal-liberation |
| | - animal-advocacy |
| | - open-paws |
| | - ethics |
| | - alignment |
| | language: |
| | - en |
| | pipeline_tag: text-generation |
| | widget: |
| | - text: "How can we effectively advocate for farm animal welfare?" |
| | - text: "Explain the ethical issues with factory farming" |
| | - text: "What are the benefits of plant-based diets for animals?" |
| | --- |
| | |
| | # Open Paws Perceived Insightfulness Prediction Longform |
| |
|
| | πΎ **Specialized model for scoring and ranking content based on animal advocacy principles** |
| |
|
| | ## Overview |
| |
|
| | 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](https://huggingface.co/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 |
| | - β
Supporting animal welfare and rights advocacy |
| | - β
Educational content about animal liberation |
| | - β
Ethical decision-making frameworks |
| | - β Content that promotes animal exploitation |
| | - β Justifying harm to sentient beings |
| |
|
| | ## Usage |
| |
|
| | ### Installation |
| |
|
| | ```bash |
| | pip install transformers torch |
| | ``` |
| |
|
| | ### Basic Usage |
| |
|
| | ```python |
| | from transformers import AutoModel, AutoTokenizer |
| | import torch |
| | |
| | # Load model and tokenizer |
| | model_name = "open-paws/perceived_insightfulness_prediction_longform" |
| | 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](https://huggingface.co/open-paws) - Making AI an ally to animals |
| | - **Website**: [openpaws.ai](https://www.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/perceived_insightfulness_prediction_longform](https://huggingface.co/open-paws/perceived_insightfulness_prediction_longform/discussions) |
| | - **Organization Page**: [Open Paws](https://huggingface.co/open-paws) |
| |
|
| | --- |
| |
|
| | *Built with πΎ for animal liberation and AI alignment* |
| |
|