Instructions to use gemmathon/gemmathon-gemma-Qlora-KoAlpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gemmathon/gemmathon-gemma-Qlora-KoAlpaca with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gemmathon/gemmathon-gemma-Qlora-KoAlpaca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gemmathon/gemmathon-gemma-Qlora-KoAlpaca: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/gemmathon/gemmathon-gemma-Qlora-KoAlpaca/resolve/main/tokenizer.json
- Command line
-
hf download hf://gemmathon/gemmathon-gemma-Qlora-KoAlpaca/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gemmathon/gemmathon-gemma-Qlora-KoAlpaca/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- d801d5d51a7154272c47652aa97b6071e7bef26cbf36dac7ca85496304dc30d6
- Size of remote file:
- 17.5 MB
- SHA256:
- d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
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