Text Generation
PEFT
Safetensors
masked-diffusion
discrete-diffusion
diffusion-language-model
lora
byod
conversational
Instructions to use Ruurd/BYOD-Gemma-2-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ruurd/BYOD-Gemma-2-9B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "Ruurd/BYOD-Gemma-2-9B") - Notebooks
- Google Colab
- Kaggle
Download normalization_state.pt from Ruurd/BYOD-Gemma-2-9B: direct link, hf CLI and curl.
- Browser
- Download file 1.27 MB
-
https://huggingface.co/Ruurd/BYOD-Gemma-2-9B/resolve/main/normalization_state.pt
- Command line
-
hf download hf://Ruurd/BYOD-Gemma-2-9B/normalization_state.pt
-
curl -L -o normalization_state.pt https://huggingface.co/Ruurd/BYOD-Gemma-2-9B/resolve/main/normalization_state.pt
1.27 MB
- Xet hash:
- bf6bd7b17acede15ec3c7efd4682d0e27253adb6f9789d9d6c63013cafe9e478
- Size of remote file:
- 1.27 MB
- SHA256:
- 47ae556661245917370b2a45f3643a940ccb558fdf370c195615d3cf50787c29
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