Instructions to use shadyy/RDMM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shadyy/RDMM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit") model = PeftModel.from_pretrained(base_model, "shadyy/RDMM") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature66a2a05 -
Update README.md
Verified signature3ea1cd0 -
Update README.md
Verified signatured743afe -
Update README.md
Verified signature24b6f49 -
Update README.md
Verified signature337b08a -
Update README.md
Verified signature40e11d1 -
Upload 11 files
Verified signature78c801a -
Upload 2 files
Verified signature96389e9
-
initial commit
Verified signature6f2826a