Instructions to use AkkeyAkkey/comp_code1_feb_14_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AkkeyAkkey/comp_code1_feb_14_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "AkkeyAkkey/comp_code1_feb_14_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b15204a9e76d513b5cc5afd61781f91cccdeeb949c8c3e2882179f76cdaaf962
- Size of remote file:
- 529 MB
- SHA256:
- 49243f74780efbc3a783481513836fe80327c7b1c7f95d21b07853d9d599be68
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