Instructions to use tttx/sft_r1_barc_pot_2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/sft_r1_barc_pot_2k 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_2k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 662287c8a7db7afa36118cd4e9bc68c53662e7211a807aeb6a0dc86ebb199ff4
- Size of remote file:
- 17.2 MB
- SHA256:
- cb956fd3e742594d4410fdb86df5edf0c1b0f1f382117a2fbd877f2372ec158d
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