Instructions to use Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct") model = PeftModel.from_pretrained(base_model, "Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c21abc110ae565b741e7443644b4bd317e4a372fc8b34dc6c558a3ae2c0714a0
- Size of remote file:
- 8.7 kB
- SHA256:
- 0c574a542610586eece3e815b9131ccb7250e0a30f832b8334e93e7c963db81b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.