Instructions to use vamman2001/maplept2-coder-25082652 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vamman2001/maplept2-coder-25082652 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct") model = PeftModel.from_pretrained(base_model, "vamman2001/maplept2-coder-25082652") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vamman2001/maplept2-coder-25082652: direct link, hf CLI and curl.
- Browser
- Download file 9.55 kB
-
https://huggingface.co/vamman2001/maplept2-coder-25082652/resolve/main/training_args.bin
- Command line
-
hf download hf://vamman2001/maplept2-coder-25082652/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vamman2001/maplept2-coder-25082652/resolve/main/training_args.bin
9.55 kB
- Xet hash:
- e9f43eee96f71ed062c07d3236e01b61838546be68a45bec9ec8403b1892deb7
- Size of remote file:
- 9.55 kB
- SHA256:
- 5b43ea09d528cdbadb35522e5b9d2ce73f5f1024ff4cc2bec46fba6c91f95012
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