Instructions to use lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "lhong4759/ac11856d-78c8-4956-9dd4-f2022250559f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 524e93028fb0d902ae8bae83999ad378d95d4859a31779df90b0258631846708
- Size of remote file:
- 84 MB
- SHA256:
- 11756a382eba894167f050f3491465dc984d646ceed61ff708f62de0d34973fe
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