Instructions to use SocialCompUW/CHAST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SocialCompUW/CHAST with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5-16k") model = PeftModel.from_pretrained(base_model, "SocialCompUW/CHAST") - Notebooks
- Google Colab
- Kaggle
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# CHAST
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This model is a fine-tuned version of [lmsys/vicuna-13b-v1.5-16k](https://huggingface.co/lmsys/vicuna-13b-v1.5-16k).
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## Model description
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Computes Covert Harms and Social Threats (CHAST) metrics for conversational data.
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### Training hyperparameters
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# CHAST
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This model is a fine-tuned version of [lmsys/vicuna-13b-v1.5-16k](https://huggingface.co/lmsys/vicuna-13b-v1.5-16k).
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For more details, please refer to the paper: https://arxiv.org/pdf/2405.05378
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## Model description
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Computes Covert Harms and Social Threats (CHAST) metrics for conversational data.
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For more details, please refer to the paper: https://arxiv.org/pdf/2405.05378
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### Training hyperparameters
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