Instructions to use Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct") model = PeftModel.from_pretrained(base_model, "Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy/resolve/main/training_args.bin
- Command line
-
hf download hf://Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kaylee0501/Qwen2.5-Coder-32B-Instruct-onpolicy/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- cb418c9c58a02b3208702d276c84f8c940b07752e47cc25dbf357a8470d55cf1
- Size of remote file:
- 5.37 kB
- SHA256:
- 4fc965f58f1dc045dfc75d8640068a5bc9b105c70be46d5be3b81032afa41eb3
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