Instructions to use ebowwa/human-biases-people-base-with-toxic-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebowwa/human-biases-people-base-with-toxic-dpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebowwa/human-biases-people-base-with-toxic-dpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ebowwa/human-biases-people-base-with-toxic-dpo with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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 ebowwa/human-biases-people-base-with-toxic-dpo to start chatting
Install Unsloth Studio (Windows)
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 ebowwa/human-biases-people-base-with-toxic-dpo to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ebowwa/human-biases-people-base-with-toxic-dpo to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ebowwa/human-biases-people-base-with-toxic-dpo", max_seq_length=2048, )
- Xet hash:
- 0480079378a10a071aa96bcc6ceb815cc14ffab82fa70522f9f5d0e9b82b22d3
- Size of remote file:
- 168 MB
- SHA256:
- 796824315fce8c4e29c13413421387c8711197253db88b7a9d23d714b5a837cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.