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zli12321
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answer_equivalence_tiny_bert

Text Classification
Transformers
Safetensors
English
bert
question-answering
evaluation
text
text-embeddings-inference
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@@ -210,7 +210,7 @@ match_result = pedant.evaluate(reference_answer, candidate_answer, question)
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  ```python
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  from qa_metrics.transformerMatcher import TransformerMatcher
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- ### supports `zli12321/answer_equivalence_bert`, `zli12321/answer_equivalence_distilbert`, `zli12321/answer_equivalence_roberta`, `zli12321/answer_equivalence_distilroberta`
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  tm = TransformerMatcher("zli12321/answer_equivalence_tiny_bert")
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  match_result = tm.transformer_match(reference_answer, candidate_answer, question)
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  ```
 
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  ```python
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  from qa_metrics.transformerMatcher import TransformerMatcher
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+ ### supports `zli12321/roberta-large-qa-evaluator`, `zli12321/answer_equivalence_bert`, `zli12321/answer_equivalence_distilbert`, `zli12321/answer_equivalence_roberta`, `zli12321/answer_equivalence_distilroberta`
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  tm = TransformerMatcher("zli12321/answer_equivalence_tiny_bert")
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  match_result = tm.transformer_match(reference_answer, candidate_answer, question)
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  ```