Instructions to use ddrg/math_structure_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddrg/math_structure_deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ddrg/math_structure_deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ddrg/math_structure_deberta") model = AutoModelForMaskedLM.from_pretrained("ddrg/math_structure_deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f0330d00ec102e6c5e0c4ec2eab602e149d5fe3b3ec50bd5c57191c89774d44
- Size of remote file:
- 738 MB
- SHA256:
- 9e303241bfaca8dcb6b3b07b6f97fd88b9e05c91984b847818f964991c05d4d5
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