metadata
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
- code
- azure logic
- logic apps
license: mit
datasets:
- albertleigh/az-logic-apps-dataset
language:
- en
base_model:
- google-bert/bert-base-uncased
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
- Code: [More Information Needed]
- Paper: [More Information Needed]
- Docs: [More Information Needed]
BERT Expression Classifier
Classify whether text is an Azure Logic App expression:
python clis/run_bert_model.py
Example Session:
Loading model... ✓
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AzLgcExp BERT Classifier - Interactive CLI
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> @{body('Parse_JSON')?['content']?['main_text']}
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Result: Azure Logic App Expression
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Non-Azure Logic App: 0.0006 (0.06%)
Azure Logic App: 0.9994 (99.94%)
> tokenizer(text, return_tensors='pt')
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Result: Non-Azure Logic App Expression
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Non-Azure Logic App: 0.9831 (98.31%)
Azure Logic App: 0.0169 (1.69%)
Repo: Available on Github https://github.com/albertleigh/az-lgc-finetuned