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ichangg
/
indobert-sentiment-ecommerce

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ichangg/indobert-sentiment-ecommerce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ichangg/indobert-sentiment-ecommerce with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ichangg/indobert-sentiment-ecommerce", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ichangg/indobert-sentiment-ecommerce")
    model = AutoModelForSequenceClassification.from_pretrained("ichangg/indobert-sentiment-ecommerce", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
indobert-sentiment-ecommerce
499 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ichangg's picture
ichangg
Upload tokenizer
5cd2967 verified 28 days ago
  • .gitattributes
    1.52 kB
    initial commit 28 days ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification 28 days ago
  • config.json
    1.16 kB
    Upload BertForSequenceClassification 28 days ago
  • model.safetensors
    498 MB
    xet
    Upload BertForSequenceClassification 28 days ago
  • tokenizer.json
    709 kB
    Upload tokenizer 28 days ago
  • tokenizer_config.json
    379 Bytes
    Upload tokenizer 28 days ago