Safetensors
Indonesian
gemma3_text
gemma
gemma-3
form-generation
android
tflite-ready
unsloth
indonesian
Instructions to use bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed 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 bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed 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 bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bhismaperkasa/gemma-3-270m-form-generator-bf16_unslothed", max_seq_length=2048, )
- Xet hash:
- 7e49659e8c5b4d4ef44110f9c582cc41da6e74f54b5875500bb77dd26c49259a
- Size of remote file:
- 536 MB
- SHA256:
- ca0a4cd1ba26302ee1ebedd0b0778cafc8fdbaef8d48b0843fbe9f5b6ad52fad
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