Instructions to use LBK95/grpo-OracleReward_Async_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LBK95/grpo-OracleReward_Async_V1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LBK95/grpo-OracleReward_Async_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LBK95/grpo-OracleReward_Async_V1: direct link, hf CLI and curl.
- Browser
- Download file 7.57 kB
-
https://huggingface.co/LBK95/grpo-OracleReward_Async_V1/resolve/main/training_args.bin
- Command line
-
hf download hf://LBK95/grpo-OracleReward_Async_V1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LBK95/grpo-OracleReward_Async_V1/resolve/main/training_args.bin
7.57 kB
- Xet hash:
- a39ea7fee76fe5052a6e26c6bc490b725918f3f469b7652292992755bfc4a412
- Size of remote file:
- 7.57 kB
- SHA256:
- 5a556986fdf7700a2210d7742c2c9dac0f43bc06d2eb4220852089018662eda5
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