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
Download training_args.bin from Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B/resolve/main/training_args.bin
- Command line
-
hf download hf://Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Omartificial-Intelligence-Space/Arabic-DeepSeek-R1-Distill-8B/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- b12e2c20af94610afb5c6481f795ca7e4f6b4ad27acf110017941f66cef3a580
- Size of remote file:
- 5.56 kB
- SHA256:
- f8952c039e74c402add94711d6444921ca6295627b6b5b755bd1cf444ceb058b
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