Instructions to use hajimemat/avap-coder-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hajimemat/avap-coder-training with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "hajimemat/avap-coder-training") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hajimemat/avap-coder-training: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/hajimemat/avap-coder-training/resolve/main/training_args.bin
- Command line
-
hf download hf://hajimemat/avap-coder-training/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hajimemat/avap-coder-training/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 8adf5ca4e73505a6907523a6deac96eb3253d4bf75bc96d8a688a4821f8ce861
- Size of remote file:
- 5.91 kB
- SHA256:
- 643fd7f15448222eef22092211a8a838717ab2b3eaf4be6e73b6048a8d8f0632
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