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 value_head.bin from Heisenger/final_runs-Reasoning__trial_1: direct link, hf CLI and curl.
- Browser
- Download file 13.9 kB
-
https://huggingface.co/Heisenger/final_runs-Reasoning__trial_1/resolve/main/value_head.bin
- Command line
-
hf download hf://Heisenger/final_runs-Reasoning__trial_1/value_head.bin
-
curl -L -o value_head.bin https://huggingface.co/Heisenger/final_runs-Reasoning__trial_1/resolve/main/value_head.bin
13.9 kB
- Xet hash:
- 73289d4a85c9d656eed5157871d395abebb8c453ffdb9c82a83f1ab61868ff30
- Size of remote file:
- 13.9 kB
- SHA256:
- 5a18b7c75d9da9ce3b769bc015bd1f19f4e3195a16aafe16c75d0b1ec7135867
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