Instructions to use yobro4619/gemma_safe_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yobro4619/gemma_safe_sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yobro4619/gemma_safe_sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from yobro4619/gemma_safe_sft: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/yobro4619/gemma_safe_sft/resolve/main/tokenizer.json
- Command line
-
hf download hf://yobro4619/gemma_safe_sft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/yobro4619/gemma_safe_sft/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 75fc1f4a784dee88816415ab1ac6ab422e566cbf0864d25f612d85750d653122
- Size of remote file:
- 34.4 MB
- SHA256:
- 21a68e564414e6bcedce28fdd835307053ec0080f2bcd0993f95753889dce3b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.