Instructions to use shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shukdevdatta123/Fine-Tune-Innovative-DeepSeek-R1/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 9a045bad56a491769f79eb047f78515431dc030ebbaf00c951ccd22757c5b5d2
- Size of remote file:
- 168 MB
- SHA256:
- 9fbfc02436690eb3b5e8145f133c11e0b5c86fff0001c2a08b968e940c61dfaf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.