Instructions to use dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "dimasik87/194dde6f-ba07-4510-bad0-9b71c9ef57d8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5a4a435b382cb13f29798c82c4267d486a9fcee6a25f2bade41ddb561cbed3e
- Size of remote file:
- 157 MB
- SHA256:
- 14ed6a134c475df28bd9a405215ae72f695bd0b9cde053e42b1bcd658838feb6
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