Instructions to use Atomic-Germ/Gemma3-4B-Text-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atomic-Germ/Gemma3-4B-Text-NPU2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Atomic-Germ/Gemma3-4B-Text-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Atomic-Germ/Gemma3-4B-Text-NPU2 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 Atomic-Germ/Gemma3-4B-Text-NPU2 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 Atomic-Germ/Gemma3-4B-Text-NPU2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Atomic-Germ/Gemma3-4B-Text-NPU2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Atomic-Germ/Gemma3-4B-Text-NPU2", max_seq_length=2048, )
- Xet hash:
- 27a4fa64079b396375df8298a2073c02fa692e83af2c3483467ccb3ab53a3ef0
- Size of remote file:
- 115 kB
- SHA256:
- a1be8893482f4d6f3634621e9f1c52355ce082cb768300ead02a54b05026b74c
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