Instructions to use JuliusFx/mental-health-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use JuliusFx/mental-health-classifier 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 JuliusFx/mental-health-classifier 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 JuliusFx/mental-health-classifier to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for JuliusFx/mental-health-classifier to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="JuliusFx/mental-health-classifier", max_seq_length=2048, )
- Xet hash:
- 8eaac7a0ecbef878357c9c4433a3cb9b8246a53d2b0d69b9c82b397f8f60ee06
- Size of remote file:
- 712 kB
- SHA256:
- cb374d6bc042c22455946f4e09a89d29882a199fdaf8fb25be00dc8b8857a448
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