Instructions to use rahulsnsihub/deepseek_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rahulsnsihub/deepseek_fine_tuned 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, "rahulsnsihub/deepseek_fine_tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab613e5b1c92521a1c0a6c87a912d125a393278e4caf60f7e26efa1e3177282
- Size of remote file:
- 5.62 kB
- SHA256:
- 4a89900fb903485956000d98f3275ad5d5890ba6998d98c706dfd0453f516e1c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.