Instructions to use hamishivi/qwen2_math_tokenizer_tweaked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamishivi/qwen2_math_tokenizer_tweaked with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hamishivi/qwen2_math_tokenizer_tweaked", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6115c5d7e9693fa97eb04089d345209f18f91f186f53a9020d6deb9fb36b8b75
- Size of remote file:
- 11.4 MB
- SHA256:
- b794a3f39c9829bd570cc2a6879d2ab1b71109f21f8d663adc801858e51d4986
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