radityapranata
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absabert-keluhanpln-v3

Text Classification

Inference Endpoints

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radityapranata commited on Jan 1

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1 Parent(s): d6ea626

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@@ -32,7 +32,7 @@ You can use this model directly with a pipeline for masked language modeling:
 >>>from transformers import BertTokenizer, BertForSequenceClassification
 >>>import torch
-model_name = "radityapranata/absabert-keluhanpln-v3"  # Ganti dengan nama model yang benar
 tokenizer = BertTokenizer.from_pretrained(model_name)
 model = BertForSequenceClassification.from_pretrained(model_name)
 absa_pipeline = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)

 >>>from transformers import BertTokenizer, BertForSequenceClassification
 >>>import torch
+model_name = "radityapranata/absabert-keluhanpln-v3"
 tokenizer = BertTokenizer.from_pretrained(model_name)
 model = BertForSequenceClassification.from_pretrained(model_name)
 absa_pipeline = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)