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answer_equivalence_tiny_bert

Text Classification

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zli12321 commited on Aug 20

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@@ -17,9 +17,11 @@ pipeline_tag: text-classification
 QA-Evaluation-Metrics is a fast and lightweight Python package for evaluating question-answering models and prompting of black-box and open-source large language models. It provides various basic and efficient metrics to assess the performance of QA models.
 ### Updates
-- Uopdated to version 0.2.8
   - Supports prompting OPENAI GPT-series models and Claude Series models now. (Assuimg OPENAI version > 1.0)
   - Supports prompting various open source models such as LLaMA-2-70B-chat, LLaVA-1.5 etc by calling API from [deepinfra](https://deepinfra.com/models).
 ## Installation

 QA-Evaluation-Metrics is a fast and lightweight Python package for evaluating question-answering models and prompting of black-box and open-source large language models. It provides various basic and efficient metrics to assess the performance of QA models.
 ### Updates
+- Uopdated to version 0.2.17
   - Supports prompting OPENAI GPT-series models and Claude Series models now. (Assuimg OPENAI version > 1.0)
   - Supports prompting various open source models such as LLaMA-2-70B-chat, LLaVA-1.5 etc by calling API from [deepinfra](https://deepinfra.com/models).
+  - Added trained tiny-bert for QA evaluation. Model size is 18 MB.
+  - Pass huggingface repository name to download model directly for TransformerMatcher
 ## Installation