Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

The-Adnan-Syed
/
Stress_Classifier_BERT

Text Classification
Transformers
google-tensorflow TensorFlow
Joblib
bert
Model card Files Files and versions
xet
Community

Instructions to use The-Adnan-Syed/Stress_Classifier_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use The-Adnan-Syed/Stress_Classifier_BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="The-Adnan-Syed/Stress_Classifier_BERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("The-Adnan-Syed/Stress_Classifier_BERT")
    model = AutoModelForSequenceClassification.from_pretrained("The-Adnan-Syed/Stress_Classifier_BERT")
  • Notebooks
  • Google Colab
  • Kaggle
Stress_Classifier_BERT
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
The-Adnan-Syed's picture
The-Adnan-Syed
Update README.md
d0f54e7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.09 kB
    Update README.md about 2 years ago
  • config.json
    890 Bytes
    Update config.json about 2 years ago
  • label_encoder.joblib

    Detected Pickle imports (6)

    • "numpy.core.multiarray._reconstruct",
    • "_codecs.encode",
    • "sklearn.preprocessing._label.LabelEncoder",
    • "numpy.dtype",
    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper"

    How to fix it?

    598 Bytes
    xet
    Upload label_encoder.joblib over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 3 files over 2 years ago
  • stress_categorization_using_bert_transformer.py
    6.68 kB
    Upload stress_categorization_using_bert_transformer.py over 2 years ago
  • tf_model.h5
    438 MB
    xet
    Upload 3 files over 2 years ago
  • tokenizer_config.json
    366 Bytes
    Upload 3 files over 2 years ago
  • vocab.txt
    232 kB
    Upload 3 files over 2 years ago