Instructions to use b09501048/ADL_Gemma2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use b09501048/ADL_Gemma2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zake7749/gemma-2-2b-it-chinese-kyara-dpo") model = PeftModel.from_pretrained(base_model, "b09501048/ADL_Gemma2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from b09501048/ADL_Gemma2: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/b09501048/ADL_Gemma2/resolve/main/tokenizer.json
- Command line
-
hf download hf://b09501048/ADL_Gemma2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/b09501048/ADL_Gemma2/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- fa8a8c7b79fbe60ea6d7ebec09ae65ff0398955d4f7c07c97a03c7ab7d4ff4a9
- Size of remote file:
- 34.4 MB
- SHA256:
- e6ce83119bb404f7f0a6e621b76759d476357dcd01241a90f9ca136ae2b3c11c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.