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dimeneid
/
kawantumbuh-sentimen

Text Classification
Transformers
Safetensors
Indonesian
bert
sentiment-analysis
indonesian
indobert
app-reviews
google-play
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use dimeneid/kawantumbuh-sentimen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dimeneid/kawantumbuh-sentimen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dimeneid/kawantumbuh-sentimen")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dimeneid/kawantumbuh-sentimen")
    model = AutoModelForSequenceClassification.from_pretrained("dimeneid/kawantumbuh-sentimen", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
kawantumbuh-sentimen
443 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
dimeneid's picture
dimeneid
xzael24's picture
xzael24
Tambah model card (#1)
77c2bf4 about 18 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    6.86 kB
    Tambah model card (#1) about 18 hours ago
  • config.json
    947 Bytes
    Upload BertForSequenceClassification 2 days ago
  • model.safetensors
    442 MB
    xet
    Upload BertForSequenceClassification 2 days ago
  • tokenizer.json
    736 kB
    Upload tokenizer 2 days ago
  • tokenizer_config.json
    378 Bytes
    Upload tokenizer 2 days ago