Instructions to use AkkeyAkkey/comp_code1_feb_10_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AkkeyAkkey/comp_code1_feb_10_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_10_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97d987d9b00ad4377d42228ace465a31ca9dc68e8096b490a472cabf535b197b
- Size of remote file:
- 529 MB
- SHA256:
- 31e604d53b1ab776a429482f9255df2817a57aa5bacbc8d6cb83a3db535a0d9f
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