Instructions to use tchebonenko/test_finetuning_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tchebonenko/test_finetuning_LLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "tchebonenko/test_finetuning_LLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc296c62aa9f3752c45302fe904b873feea475f800660c77ec956fefa2fb5c6c
- Size of remote file:
- 19.7 MB
- SHA256:
- ab56dab2b6c84b25c0df82fbe5f9a5b431de76de9f4b8da25c24e37703095ff7
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