Instructions to use NightBaRron1412/deepparse-r1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NightBaRron1412/deepparse-r1-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Llama-8B") model = PeftModel.from_pretrained(base_model, "NightBaRron1412/deepparse-r1-8b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NightBaRron1412/deepparse-r1-8b: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/NightBaRron1412/deepparse-r1-8b/resolve/main/training_args.bin
- Command line
-
hf download hf://NightBaRron1412/deepparse-r1-8b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NightBaRron1412/deepparse-r1-8b/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 971632281cf5b47b64bd81e77b1656c36589c5a2af609f4ac3c5e92578106aac
- Size of remote file:
- 4.79 kB
- SHA256:
- 5de392820a372291ca7846c4a05f5ff271f9602166cc5aeb2afd5b76505d04e7
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