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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9a273d2e447d6399dc3a833b6bb22379dfa2522c8439f9132158f0e91b3f214
- Size of remote file:
- 738 MB
- SHA256:
- a17de8c12b28ba79acb4161c95553e5856eb356441e68bc3f528c11c4ebaa19f
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