Instructions to use brildev7/gemma-7b-it-summarization-ko-sft-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use brildev7/gemma-7b-it-summarization-ko-sft-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "brildev7/gemma-7b-it-summarization-ko-sft-qlora") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from brildev7/gemma-7b-it-summarization-ko-sft-qlora: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/brildev7/gemma-7b-it-summarization-ko-sft-qlora/resolve/main/rng_state.pth
- Command line
-
hf download hf://brildev7/gemma-7b-it-summarization-ko-sft-qlora/rng_state.pth
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curl -L -o rng_state.pth https://huggingface.co/brildev7/gemma-7b-it-summarization-ko-sft-qlora/resolve/main/rng_state.pth
14.2 kB
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