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nfhakim
/
sentiment-analysis-c2

Feature Extraction
Transformers
PyTorch
Indonesian
bert
indobert
indobenchmark
indonlu
Model card Files Files and versions
xet
Community
1

Instructions to use nfhakim/sentiment-analysis-c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nfhakim/sentiment-analysis-c2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nfhakim/sentiment-analysis-c2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("nfhakim/sentiment-analysis-c2")
    model = AutoModel.from_pretrained("nfhakim/sentiment-analysis-c2")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis-c2
498 MB
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  • 1 contributor
History: 6 commits
nfhakim's picture
nfhakim
Upload pytorch_model.bin
6fd84dc verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    696 Bytes
    Update README.md about 2 years ago
  • config.json
    903 Bytes
    push model, config, tokenizer about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage"

    What is a pickle import?

    498 MB
    xet
    push model, config, tokenizer about 2 years ago
  • special_tokens_map.json
    112 Bytes
    push model, config, tokenizer about 2 years ago
  • tokenizer_config.json
    529 Bytes
    push model, config, tokenizer about 2 years ago
  • vocab.txt
    229 kB
    push model, config, tokenizer about 2 years ago