Instructions to use dada22231/23eaf7d9-c6d2-4c3e-956c-acb89fa92a4c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/23eaf7d9-c6d2-4c3e-956c-acb89fa92a4c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-open-llama-3b-v2") model = PeftModel.from_pretrained(base_model, "dada22231/23eaf7d9-c6d2-4c3e-956c-acb89fa92a4c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 960b3f2c98d72dd3a8b83fb8747dbd1674fd6b0848cc1e8be7b736381880884a
- Size of remote file:
- 203 MB
- SHA256:
- 542111594608758bc565032e9fc5a202764ef4abd4fc1f5a8efeeecea2b2fdfc
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