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:
- 84e91d73f522e1ba5aa33d9d7cc982269ffb6710c4c413da972d7b9b7acd9a46
- Size of remote file:
- 1.06 kB
- SHA256:
- 00fdfff83072b633bea3153e8240af4b30ff2da082e37d925a627876a0c7267f
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