Instructions to use vinhnx90/gemma3-1b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinhnx90/gemma3-1b-thinking with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vinhnx90/gemma3-1b-thinking", device_map="auto") - PEFT
How to use vinhnx90/gemma3-1b-thinking with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vinhnx90/gemma3-1b-thinking: direct link, hf CLI and curl.
- Browser
- Download file 5.94 kB
-
https://huggingface.co/vinhnx90/gemma3-1b-thinking/resolve/main/training_args.bin
- Command line
-
hf download hf://vinhnx90/gemma3-1b-thinking/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vinhnx90/gemma3-1b-thinking/resolve/main/training_args.bin
5.94 kB
- Xet hash:
- 603a976ad2bb14882f0b6cca8521f26ab4e921f3d950d44b6e997ca9400b6bc3
- Size of remote file:
- 5.94 kB
- SHA256:
- 9d00d1de927b77dbfbcfd5bd69cf585ded74882f198ccb001b14fc7117ef4cd3
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