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 generation_config.json from brildev7/gemma-7b-it-summarization-ko-sft-qlora: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/brildev7/gemma-7b-it-summarization-ko-sft-qlora/resolve/main/generation_config.json
- Command line
-
hf download hf://brildev7/gemma-7b-it-summarization-ko-sft-qlora/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/brildev7/gemma-7b-it-summarization-ko-sft-qlora/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.38.0" | |
| } | |