Instructions to use CodCodingCode/Qwen2-0.5B-GRPO-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodCodingCode/Qwen2-0.5B-GRPO-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodCodingCode/Qwen2-0.5B-GRPO-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from CodCodingCode/Qwen2-0.5B-GRPO-test: direct link, hf CLI and curl.
- Browser
- Download file 2.18 MB
-
https://huggingface.co/CodCodingCode/Qwen2-0.5B-GRPO-test/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://CodCodingCode/Qwen2-0.5B-GRPO-test/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/CodCodingCode/Qwen2-0.5B-GRPO-test/resolve/main/adapter_model.safetensors
2.18 MB
- Xet hash:
- 6cdd007fe3bb4c95c34666e8fa3047fb45d2f35d348bac9c7295a6b594d392ff
- Size of remote file:
- 2.18 MB
- SHA256:
- aabd093d8c992e78b0df5bc61cfa25fbd80a820bb4bfac9ea288c1159f566464
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