Instructions to use Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- fe843cdebcabf509162e5752aaa1b71c9f86e6e3f68b558f025602d85fd38b35
- Size of remote file:
- 1.06 kB
- SHA256:
- bb6ec96c80ae2a50b0dd328ba09a32ddbdcad248c7b74338d86580693ca3886f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.