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keanteng
/
bert-sentiment-wqd7005

Text Classification
Transformers
Safetensors
PyTorch
English
bert
sentiment-analysis
healthcare
lifestyle
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use keanteng/bert-sentiment-wqd7005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use keanteng/bert-sentiment-wqd7005 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="keanteng/bert-sentiment-wqd7005")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("keanteng/bert-sentiment-wqd7005")
    model = AutoModelForSequenceClassification.from_pretrained("keanteng/bert-sentiment-wqd7005", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-sentiment-wqd7005
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
keanteng's picture
keanteng
Update README.md
8f0bd8a verified about 1 year ago
  • images
    Upload folder using huggingface_hub about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    7.13 kB
    Update README.md about 1 year ago
  • config.json
    842 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • model.safetensors
    1.34 GB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • sa_eval_results.pkl

    Detected Pickle imports (2)

    • "numpy._core.multiarray.scalar",
    • "numpy.dtype"

    How to fix it?

    9.28 kB
    xet
    Upload folder using huggingface_hub about 1 year ago