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
Download tokenizer.json from lt2c/metamath-qwen3.5-0.6b-rl-gamma0: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/tokenizer.json
- Command line
-
hf download hf://lt2c/metamath-qwen3.5-0.6b-rl-gamma0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 1fb0494842376b8c51fadeced410ab3c28f8146b2a44aac04f7528806309cc84
- Size of remote file:
- 11.4 MB
- SHA256:
- 79cb3c783570f1b8fe73b9ed530ae50cae9ce4b6344c0b5edefc50478847eaa4
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