Instructions to use Jdsnav-1828/codeact-qwen2.5-coder-3b-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jdsnav-1828/codeact-qwen2.5-coder-3b-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Jdsnav-1828/codeact-qwen2.5-coder-3b-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f2552ddfcaf8462cbf45447df1b2a5e38cac253d4c6590c48c1f7ae91341fcb
- Size of remote file:
- 240 MB
- SHA256:
- ac392e4d7bd0c5d4a316c3541093ee7a7d516b57938aea9274a0cdc26adc4f74
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