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@@ -12,6 +12,8 @@ metrics:
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  base_model:
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  - dbmdz/bert-base-turkish-cased
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  pipeline_tag: text-classification
 
 
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  ---
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  # Model Card for ABSA_Turkish_BERT_Based_Small
@@ -34,11 +36,10 @@ This model is fine-tuned from the `dbmdz/bert-base-turkish-cased` pretrained BER
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  - **Finetuned from model:** `dbmdz/bert-base-turkish-cased`
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  - **Number of Labels:** 3 (Negative, Neutral, Positive)
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- ### Model Sources
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  <!-- Provide the basic links for the model. -->
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  - **Notebook:** [ABSA_Turkish_BERT_Based_Small](https://www.kaggle.com/code/mertsengil/absa-train-w-synthetic-restaurant-reviews)
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- - **Dataset:** [Turkish-ABSA-Wsynthetic](https://github.com/sengil/turkish-absa-dataset)
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  ---
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  ## Uses
 
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  base_model:
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  - dbmdz/bert-base-turkish-cased
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  pipeline_tag: text-classification
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+ datasets:
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+ - Sengil/Turkish-ABSA-Wsynthetic
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  ---
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  # Model Card for ABSA_Turkish_BERT_Based_Small
 
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  - **Finetuned from model:** `dbmdz/bert-base-turkish-cased`
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  - **Number of Labels:** 3 (Negative, Neutral, Positive)
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+ ### Sources
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  <!-- Provide the basic links for the model. -->
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  - **Notebook:** [ABSA_Turkish_BERT_Based_Small](https://www.kaggle.com/code/mertsengil/absa-train-w-synthetic-restaurant-reviews)
 
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  ---
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  ## Uses