Text Generation
Safetensors
English
gemma
unsloth
lora
tunnelling
tunnel-boring-machine
geotechnical-engineering
civil-engineering
conversational
Instructions to use TUSTResearcher/gemma4tunnel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use TUSTResearcher/gemma4tunnel 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 TUSTResearcher/gemma4tunnel 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 TUSTResearcher/gemma4tunnel to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TUSTResearcher/gemma4tunnel to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="TUSTResearcher/gemma4tunnel", max_seq_length=2048, )
- Xet hash:
- fdba0c0579d2c5ebdb6b4d72eecc75fdc1997bd78b66cbe2739ba81a4947db60
- Size of remote file:
- 134 MB
- SHA256:
- b6952f6462913df40ed2991db99e67399a2a7916c634eaf4214b1ee650cf6e6b
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