Instructions to use ebowwa/human-biases-people with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebowwa/human-biases-people with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebowwa/human-biases-people", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ebowwa/human-biases-people 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 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 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 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", max_seq_length=2048, )
- Xet hash:
- 8f0c4e7e2adbe718b5c1e988cb66b8b4f57b169586220f19886f4707ca41c252
- Size of remote file:
- 168 MB
- SHA256:
- 352cdedd6b32e8f6c7769980ed508a200f7f6a85cc5f3dd08ad1ce1f3fa2859a
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