Instructions to use Goodnight7/gemma_4_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Goodnight7/gemma_4_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Goodnight7/gemma_4_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Goodnight7/gemma_4_lora: direct link, hf CLI and curl.
- Browser
- Download file 239 MB
-
https://huggingface.co/Goodnight7/gemma_4_lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Goodnight7/gemma_4_lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Goodnight7/gemma_4_lora/resolve/main/adapter_model.safetensors
239 MB
- Xet hash:
- 2ec262bc7cc00ff40f5eccf26bf39b87d9b2e8edaee2f8e6dfdd32f0c1d5e2c2
- Size of remote file:
- 239 MB
- SHA256:
- 9473def48151f53cbaa14ad44f0eb782a37c97d30784ffc8eddf6cb5b7723832
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