Instructions to use albertakn/Qwen2-0.5B-GRPO-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use albertakn/Qwen2-0.5B-GRPO-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("albertakn/Qwen2-0.5B-GRPO-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from albertakn/Qwen2-0.5B-GRPO-test: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/albertakn/Qwen2-0.5B-GRPO-test/resolve/main/tokenizer.json
- Command line
-
hf download hf://albertakn/Qwen2-0.5B-GRPO-test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/albertakn/Qwen2-0.5B-GRPO-test/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- cdbcb7612338196c0cdf9f53220a6684cf6305dc90e2ff6eeb1cc8c4d5eeec56
- Size of remote file:
- 11.4 MB
- SHA256:
- b7c852534ad33d333aa478034d64cd37cb14da033a24674c4b2518300f488efa
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