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:
- c8d81eb0e601dc76f22f5264e2f91d83fb878118321574ba47597240fa8423a0
- Size of remote file:
- 323 MB
- SHA256:
- 0afd2c6a9a8a114016010919b564f00269a81e7a21c240873a930b3f3a93c4ce
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