Instructions to use tttx/sft_r1_barc_pot_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/sft_r1_barc_pot_10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("barc0/Llama-3.1-ARC-Potpourri-Transduction-8B") model = PeftModel.from_pretrained(base_model, "tttx/sft_r1_barc_pot_10k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50bf0c6a5a67290f3532542fc683af96975ad6f3ca3ddf8f7124d6069c783bf5
- Size of remote file:
- 7.22 kB
- SHA256:
- 45b8d8b44b5bf2e4df6aea1b9407f2f4b4fd023f5ee36c00331f81a930b10e70
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