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_initial_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_initial_state.pt
- Command line
-
hf download hf://Ruurd/BYOD-Gemma-2-9B/normalization_initial_state.pt
-
curl -L -o normalization_initial_state.pt https://huggingface.co/Ruurd/BYOD-Gemma-2-9B/resolve/main/normalization_initial_state.pt
1.27 MB
- Xet hash:
- 29041a470844ab54b13185f7b0524c012dc4b85b7d7c6c558c6f104cceed986b
- Size of remote file:
- 1.27 MB
- SHA256:
- 3464302a3d827435bc2d8639eb196c234edcd632b4ba9d239d6ca2b8f1f709b2
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