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--- |
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license: apache-2.0 |
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base_model_type: llama |
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tags: |
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- animal-liberation |
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- animal-advocacy |
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- open-paws |
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- ethics |
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- alignment |
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language: |
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- en |
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pipeline_tag: text-generation |
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widget: |
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- text: "How can we effectively advocate for farm animal welfare?" |
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- text: "Explain the ethical issues with factory farming" |
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- text: "What are the benefits of plant-based diets for animals?" |
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--- |
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# Open Paws Perceived Trustworthiness Prediction Longform |
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πΎ **Specialized model for scoring and ranking content based on animal advocacy principles** |
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## Overview |
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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. |
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## Model Details |
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- **Model Type**: Ranking Model |
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- **Model Size**: Compact (under 1B parameters) |
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- **Architecture**: Transformer-based |
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- **Training Focus**: Animal advocacy and ethical reasoning |
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- **Organization**: [Open Paws](https://huggingface.co/open-paws) |
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- **License**: Apache 2.0 |
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## Intended Use |
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### Primary Applications |
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- Content quality assessment for animal advocacy |
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- Message effectiveness scoring |
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- Preference modeling for advocacy strategies |
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- Performance evaluation of educational materials |
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### Ethical Guidelines |
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- β
Supporting animal welfare and rights advocacy |
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- β
Educational content about animal liberation |
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- β
Ethical decision-making frameworks |
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- β Content that promotes animal exploitation |
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- β Justifying harm to sentient beings |
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## Usage |
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### Installation |
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```bash |
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pip install transformers torch |
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``` |
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### Basic Usage |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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import torch |
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# Load model and tokenizer |
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model_name = "open-paws/perceived_trustworthiness_prediction_longform" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModel.from_pretrained(model_name) |
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# Score content for animal advocacy alignment |
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content = "Plant-based diets reduce animal suffering significantly" |
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inputs = tokenizer(content, return_tensors="pt") |
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score = model(**inputs).logits |
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print(f"Advocacy alignment score: {score.item():.3f}") |
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``` |
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## Community and Contributions |
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- **Organization**: [Open Paws](https://huggingface.co/open-paws) - Making AI an ally to animals |
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- **Website**: [openpaws.ai](https://www.openpaws.ai/) |
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- **Community**: Join our mission to use AI for animal liberation |
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- **Issues**: Report issues via HuggingFace discussions |
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## Model Card Contact |
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For questions about this model, please reach out via: |
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- **HuggingFace Discussions**: [open-paws/perceived_trustworthiness_prediction_longform](https://huggingface.co/open-paws/perceived_trustworthiness_prediction_longform/discussions) |
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- **Organization Page**: [Open Paws](https://huggingface.co/open-paws) |
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--- |
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*Built with πΎ for animal liberation and AI alignment* |
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