Instructions to use Cherran/dpo_sft_translated_model_llama3.1_inst8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cherran/dpo_sft_translated_model_llama3.1_inst8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Cherran/dpo_sft_translated_model_llama3.1_inst8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a46376183f06d5d64e05251eeea457259ec8f0d9b56e70a58c1914955a7d47d3
- Size of remote file:
- 1.06 kB
- SHA256:
- ac53bc2f3fc2640c1f131d675750fba17de004f221e2d184889e7453df13a2d7
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