Instructions to use 1-lock/523f294d-134f-4fa1-97fa-93702d082074 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/523f294d-134f-4fa1-97fa-93702d082074 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "1-lock/523f294d-134f-4fa1-97fa-93702d082074") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 060afeb5c1dfd6eaf9ee39c0ac6295df98a8d0dae3460ad3fd92705b368eb559
- Size of remote file:
- 6.84 kB
- SHA256:
- 1b30d9752602c4aaddd15d1a1b39ccd36b932a36f1b3f203f2bc16315ead5e05
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