Instructions to use lt2c/metamath-qwen3.5-0.6b-rl-gamma1 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-gamma1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lt2c/metamath-qwen3.5-0.6b-rl-gamma1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d966ae7783464320aa353ab4e6f0dfdf7855ba40ffbbf9143d06674b645069e
- Size of remote file:
- 7.51 kB
- SHA256:
- e59f245fd5c7f8a4d3699ec230443b7a7df0d62d37ff7216f4e26eba4169c829
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