Safetensors
Indonesian
gemma3_text
gemma
gemma-3
form-generation
android
tflite-ready
unsloth
indonesian
Instructions to use bhismaperkasa/gemma-3-270M-it-chat-seru-merged 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-it-chat-seru-merged 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-it-chat-seru-merged 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-it-chat-seru-merged 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-it-chat-seru-merged 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-it-chat-seru-merged", max_seq_length=2048, )
- Xet hash:
- 364c111ce90cf20967fcfcca53a4d2f3071ceae997104b6bc75a70cd11570801
- Size of remote file:
- 1.07 GB
- SHA256:
- f6976c90fc251b7b35533592288e1feaadbfb4be291c0e63deb24c6bf3f0ae3d
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