Instructions to use BBexist/llama3.2-1B-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BBexist/llama3.2-1B-dpo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "BBexist/llama3.2-1B-dpo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 000dbec9823f2833ee1b91dff417f7cda76815a9fa4e4239cced4f976446a0d6
- Size of remote file:
- 5.94 kB
- SHA256:
- 29e2e9f89b7ef15d927283d442ad5428c2093cd1778311b0d018bf503a573ea1
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