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  ### Model Info
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  This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset.
 
 
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  ### Model Sources
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  - **Paper:** https://ieeexplore.ieee.org/document/9559007
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  - **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models
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  - **Finetuned from model [optional]:** https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator
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- ## How to Get Started with the Model
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- from transformers import pipeline
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-
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- pipe = pipeline("text-classification", model="anilguven/electra_tr_turkish_product_reviews")
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-
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- or
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-
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- from transformers import AutoTokenizer, AutoModelForSequenceClassification
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-
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- tokenizer = AutoTokenizer.from_pretrained("anilguven/electra_tr_turkish_product_reviews")
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- model = AutoModelForSequenceClassification.from_pretrained("anilguven/electra_tr_turkish_product_reviews")
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  #### Preprocessing
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  ### Model Info
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  This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset.
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+ LABEL_0: negative review
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+ LABEL_1: positive review
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  ### Model Sources
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  - **Paper:** https://ieeexplore.ieee.org/document/9559007
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  - **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models
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  - **Finetuned from model [optional]:** https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator
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+ -
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #### Preprocessing
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