Instructions to use OpenFlowLM/Gemma3-4B-Text-NPU2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenFlowLM/Gemma3-4B-Text-NPU2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenFlowLM/Gemma3-4B-Text-NPU2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer_config.json from OpenFlowLM/Gemma3-4B-Text-NPU2: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/OpenFlowLM/Gemma3-4B-Text-NPU2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://OpenFlowLM/Gemma3-4B-Text-NPU2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/OpenFlowLM/Gemma3-4B-Text-NPU2/resolve/main/tokenizer_config.json
1.16 MB
- Xet hash:
- f2b042499fad9724b7229e0b52c4f7d09d444bc003a3debcc8c50190451719b7
- Size of remote file:
- 1.16 MB
- SHA256:
- 051c3eb5c56b28cc572082674a509bab15607b55f3e63ca5145ad4ed575dbd20
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