Instructions to use fradeet/gemma4-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fradeet/gemma4-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fradeet/gemma4-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fradeet/gemma4-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/fradeet/gemma4-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://fradeet/gemma4-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fradeet/gemma4-lora/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 5c8bd8788db33d23a3ac6a9dd431c7e414f49ec60822297f4b8663c0e4dc342b
- Size of remote file:
- 5.71 kB
- SHA256:
- c8ff5210e6633897c1acd338be4fed91a966e53c71aefdfc63ada430964a353c
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