Instructions to use ldqvinh/qwen3-0.6b-base-grpo-v2-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldqvinh/qwen3-0.6b-base-grpo-v2-2048 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ldqvinh/qwen3-0.6b-base-grpo-v2-2048", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61be5b5d43a47a576ab1a89ddf54a75e1ef26091eca2c4f1164e4220a8476e43
- Size of remote file:
- 7.06 kB
- SHA256:
- 4e9d9898ee126550ea396ade801bbe97c09cf254eb5f03bbf15461d2a4642564
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