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  TOS-DistilBERT
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@@ -13,4 +24,4 @@ Here's a quick example of how to use the model:
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  from transformers import AutoModel, AutoTokenizer
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  model = AutoModel.from_pretrained("prasannadhungana8848/TOS-DistilBERT")
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- tokenizer = AutoTokenizer.from_pretrained("prasannadhungana8848/TOS-DistilBERT")
 
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+ ---
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+ datasets:
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+ - CodeHima/TOS_DatasetV3
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ base_model: distilbert/distilbert-base-uncased
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+ pipeline_tag: text-classification
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+ library_name: transformers
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+ ---
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  TOS-DistilBERT
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  from transformers import AutoModel, AutoTokenizer
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  model = AutoModel.from_pretrained("prasannadhungana8848/TOS-DistilBERT")
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+ tokenizer = AutoTokenizer.from_pretrained("prasannadhungana8848/TOS-DistilBERT")