Instructions to use ddrg/math_structure_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddrg/math_structure_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ddrg/math_structure_bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ddrg/math_structure_bert") model = AutoModel.from_pretrained("ddrg/math_structure_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f96d5d340792df50510c286839aed5c7916ff99caa2d83e42470b26fbe75e051
- Size of remote file:
- 434 MB
- SHA256:
- 61a3d692fe6c9edf640959549789b327a96a36b79d6a3a954bb3803f3fe6ba44
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