Instructions to use Heisenger/final_runs-Reasoning__trial_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Heisenger/final_runs-Reasoning__trial_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Heisenger/final_runs-Reasoning__trial_1") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Heisenger/final_runs-Reasoning__trial_1: direct link, hf CLI and curl.
- Browser
- Download file 13.8 kB
-
https://huggingface.co/Heisenger/final_runs-Reasoning__trial_1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Heisenger/final_runs-Reasoning__trial_1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Heisenger/final_runs-Reasoning__trial_1/resolve/main/pytorch_model.bin
13.8 kB
- Xet hash:
- 709efb7630a6ca3fcd3385ab2e9a5d1ae35af4c599489344f81c01c0580f6537
- Size of remote file:
- 13.8 kB
- SHA256:
- 81dd2ee1c40f4f0f923083ce6d2f61eccd98834233b6cee20abed9e2e30968b5
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