Instructions to use diagonalge/d576bb14-cc2a-490a-880c-b0d79c27248c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diagonalge/d576bb14-cc2a-490a-880c-b0d79c27248c 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, "diagonalge/d576bb14-cc2a-490a-880c-b0d79c27248c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b9cb05313d9c7fc3d8d26132a5d932fb550cbda6ee0d7c4efcf2e31122410b1
- Size of remote file:
- 102 MB
- SHA256:
- 700019b4cc90c4ccfef934b93e7efafea436715bfa2b61c858bf365343c1ba32
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