Instructions to use thaffggg/215de2ca-52f2-485e-8781-927ab0d93042 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/215de2ca-52f2-485e-8781-927ab0d93042 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jingyeom/seal3.1.6n_7b") model = PeftModel.from_pretrained(base_model, "thaffggg/215de2ca-52f2-485e-8781-927ab0d93042") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bd04c30083d00c1c123f154282c3cbe04e09cfe5ebc0ac29819868b18dfbd5f
- Size of remote file:
- 80.1 MB
- SHA256:
- 78fb30af511d6860661910caa679b6536d0e3cb482885d3f6a94a06651d33a65
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