Instructions to use 1-lock/d536d2f9-7fe1-46fb-b209-eee34febd19d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/d536d2f9-7fe1-46fb-b209-eee34febd19d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "1-lock/d536d2f9-7fe1-46fb-b209-eee34febd19d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e0a9ad43f6578bfd107adaeadbfd98a8cf63ab626140058c79b744173524937
- Size of remote file:
- 6.84 kB
- SHA256:
- e91f2eb38cf2cee36175b7800aed5cbe7bcbee518c1334ac47b2a10f0d6f9e5e
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