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 adapter_model.safetensors from NightBaRron1412/deepparse-r1-8b: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/NightBaRron1412/deepparse-r1-8b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://NightBaRron1412/deepparse-r1-8b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/NightBaRron1412/deepparse-r1-8b/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 74761840da78d2a3a385db5319880d14347e5d82823766c626877f56d1f8eac4
- Size of remote file:
- 83.9 MB
- SHA256:
- 57f194c5659a10ad096077f06cbbe53a496370711082fab63479bbca64ca744f
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