Instructions to use dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "dada22231/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6ac0fc099f676db293752f694de87fba2159a7a5b3d7c184f6a993c5e83cc0
- Size of remote file:
- 6.84 kB
- SHA256:
- 2ad7af26b86c0d0fd643ecd21ddbfaca4ea1f3723cd312bd1335972f490182c2
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