Instructions to use Austin9/gemma-2-2b-it-Ko-QCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Austin9/gemma-2-2b-it-Ko-QCR with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Austin9/gemma-2-2b-it-Ko-QCR", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Austin9/gemma-2-2b-it-Ko-QCR with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Austin9/gemma-2-2b-it-Ko-QCR to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Austin9/gemma-2-2b-it-Ko-QCR to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Austin9/gemma-2-2b-it-Ko-QCR to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Austin9/gemma-2-2b-it-Ko-QCR", max_seq_length=2048, )
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- **Base Model**: [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it)
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- **์ธ์ด(Language)**: ํ๊ตญ์ด์ ์ต์ ํ๋ ์ด๋ํฐ
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- **์ถ๊ฐ ํ์ต(LoRA ๋ฑ)**: ๋ณธ ๋ ํฌ์งํ ๋ฆฌ์์๋ ํ๊ตญ์ด ์ง์ ๋ถ๋ฅ์ ๊ฒ์ ์ฟผ๋ฆฌ ์ฌ์์ฑ์ ์ํ ๋ก๋ผ(LoRA) ๋ฑ ๋ฏธ์ธ์กฐ์ (ํน์ ๊ธฐํ ๊ธฐ๋ฒ)์ ์ ์ฉํ ์ ์์ต๋๋ค.
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- **Base Model**: [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it)
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- **์ธ์ด(Language)**: ํ๊ตญ์ด์ ์ต์ ํ๋ ์ด๋ํฐ
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