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
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
---
|
| 2 |
datasets:
|
| 3 |
- ddrg/math_formulas
|
| 4 |
-
- ddrg/named_math_formulas
|
| 5 |
- ddrg/math_formula_retrieval
|
| 6 |
- ddrg/math_text
|
|
|
|
| 7 |
---
|
| 8 |
|
| 9 |
# Mathematical Structure Aware BERT
|
|
|
|
| 1 |
---
|
| 2 |
datasets:
|
| 3 |
- ddrg/math_formulas
|
|
|
|
| 4 |
- ddrg/math_formula_retrieval
|
| 5 |
- ddrg/math_text
|
| 6 |
+
- ddrg/named_math_formulas
|
| 7 |
---
|
| 8 |
|
| 9 |
# Mathematical Structure Aware BERT
|