Instructions to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-68m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/764efec6-3d46-4e49-9ca8-c707f33b8ac0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bacb5f6c85788c136570093b7c2eca27adca65dc8123cea9a3cd8491ecb77cf
- Size of remote file:
- 1.13 MB
- SHA256:
- ed1727a3163a769ab52f92aef28f3897a613444f4727c038cf16426b479d701c
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