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mdistilbert-base-formality-ranker

Text Classification
Transformers
PyTorch
Safetensors
distilbert
formality
Inference Endpoints
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@@ -33,7 +33,7 @@ For cross-lingual experiments results, please, refer to the paper.
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  **How to use**
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model_name = 'deberta-large-formality-ranker'
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  ```
 
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  **How to use**
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model_name = 'mdistilbert-base-formality-ranker'
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  ```