Instructions to use Mahin5757/verbarex-coder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mahin5757/verbarex-coder-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nebius/SWE-rebench-openhands-Qwen3-30B-A3B") model = PeftModel.from_pretrained(base_model, "Mahin5757/verbarex-coder-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b498a974ca1825dc644ecf504c33689738026ec67040ffcad1101cc37c45fda
- Size of remote file:
- 6.74 kB
- SHA256:
- a59667d0b72a116fae01ce830b667ac36e332a14d39a0251c2a962bb3db54a02
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