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README.md
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## Usage
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```python
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embedding_latex = model.encode([{'latex': latex}])
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embedding_pmml = model.encode([{'mathml': pmml}])
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embedding_cmml = model.encode([{'mathml': cmml}])
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## Usage
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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latex = r"13\times x"
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pmml = r"<math><semantics><mrow><mn>13</mn><mo>×</mo><mi>x</mi></mrow></semantics></math>"
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cmml = r"<math><apply><times></times><cn>13</cn><ci>x</ci></apply></math>"
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model = SentenceTransformer('{MODEL_NAME}')
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embedding_latex = model.encode([{'latex': latex}])
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embedding_pmml = model.encode([{'mathml': pmml}])
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embedding_cmml = model.encode([{'mathml': cmml}])
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