Instructions to use Cherran/translate_model_llama3.1_inst8b_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cherran/translate_model_llama3.1_inst8b_sft 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/translate_model_llama3.1_inst8b_sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a97ad6d6d17dd694551315d92eef5637ab234733474764a1892b46ac24acdc83
- Size of remote file:
- 336 MB
- SHA256:
- 56806eabd261ef1dfc75df65e697144d8e998ff722ab38ebed5e27c46ead365d
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