Instructions to use mrHungddddh/72f770ce-5c1d-4442-8b76-29e05e66a77d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/72f770ce-5c1d-4442-8b76-29e05e66a77d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "mrHungddddh/72f770ce-5c1d-4442-8b76-29e05e66a77d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82e21d31d8ec3934c0b791e0ce8ebd1b34668556292f650e3203bcab35f7cae7
- Size of remote file:
- 22.6 MB
- SHA256:
- 88a7821d49b180fd9dbe489f1be5c654a2570f7725acf1a47b37b724f90ba7dd
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