Instructions to use lt2c/metamath-qwen3.5-0.6b-rl-gamma0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lt2c/metamath-qwen3.5-0.6b-rl-gamma0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lt2c/metamath-qwen3.5-0.6b-rl-gamma0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 942e875eb520bc59f54f58ca6c0311e36b64a88ffd2b56d96d555ec535c614b4
- Size of remote file:
- 15.2 kB
- SHA256:
- 64a1a84f8d5de0f1a90da8e6c61c2290b354b952c99ae9ca042c7920c37752b0
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