Instructions to use cunghoctienganh/6ad21902-187c-4e80-93f5-553e414f2a6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/6ad21902-187c-4e80-93f5-553e414f2a6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/6ad21902-187c-4e80-93f5-553e414f2a6d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2465dd27fe2b921639daa5b5453dcb63f055f65f1609273238e1831930cc3b6d
- Size of remote file:
- 84 MB
- SHA256:
- f5531aa79cb6972a7ac8d2af3643e0fb63c9def442891a4ba706cad749e1a8fd
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