Instructions to use Cherran/dpo_sft_translated_model_llama3.1_inst8b_epoch_1 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_epoch_1 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_epoch_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3623eaf3a317972601bbdfd70c65942dae2b28e26f3231277c6226962810cb1d
- Size of remote file:
- 336 MB
- SHA256:
- 3e0347b54e74cce3aeb8e24be5c4e85dbbfbdc2f611ffeaf49a554d2e83779ae
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