GUS-Net: Social Bias NER-
Collection
A collection of our bias detection resources used to create a multi-label token classification model for: Generalizations, Unfairness, and Stereotypes • 11 items • Updated • 2
How to use ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora", dtype="auto")How to use ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="ethical-spectacle/llama-3.3-70B-social-bias-ner-qlora",
max_seq_length=2048,
)This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Base model
meta-llama/Llama-3.1-70B