Instructions to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4fd0060f-8207-495b-9bd3-5b1343322050 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/4fd0060f-8207-495b-9bd3-5b1343322050") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a117a229111ff51f1e2116272398e11647512defb79e459cd5f55bc75a8be50f
- Size of remote file:
- 157 MB
- SHA256:
- c07bcc7974516dec11200926980fde94150c275e55e520de89754601e1e59a36
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