Instructions to use FineEnvs/watercolour-grpo-judge-led with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FineEnvs/watercolour-grpo-judge-led with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-35B-A3B") model = PeftModel.from_pretrained(base_model, "FineEnvs/watercolour-grpo-judge-led") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FineEnvs/watercolour-grpo-judge-led: direct link, hf CLI and curl.
- Browser
- Download file 7.7 kB
-
https://huggingface.co/FineEnvs/watercolour-grpo-judge-led/resolve/main/training_args.bin
- Command line
-
hf download hf://FineEnvs/watercolour-grpo-judge-led/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FineEnvs/watercolour-grpo-judge-led/resolve/main/training_args.bin
7.7 kB
- Xet hash:
- 7e9b3e0d072a6e419a2acdccc56568140a98074f93c6f98fca2f0bbcf76fef13
- Size of remote file:
- 7.7 kB
- SHA256:
- fa5faaabc6410c60fb96598cf204d16649d8559b045e0c53bd3fdb08cc3aa73a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.