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:
# pip install -U transformers accelerate # 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
Download checkpoint-26200/scheduler.pt from lt2c/metamath-qwen3.5-0.6b-rl-gamma0: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/checkpoint-26200/scheduler.pt
- Command line
-
hf download hf://lt2c/metamath-qwen3.5-0.6b-rl-gamma0/checkpoint-26200/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/checkpoint-26200/scheduler.pt
1.47 kB
- Xet hash:
- 81ba80eba54b19f80bcec9d0df1cc21dd6f580a4956ca65794c0232496a7b8ea
- Size of remote file:
- 1.47 kB
- SHA256:
- c646133545850c8082c808f0bddc8a7fbb33b9c4230f133ddb428d718471d252
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