Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

chidamnat2002
/
content-classifier

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

Instructions to use chidamnat2002/content-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chidamnat2002/content-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="chidamnat2002/content-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("chidamnat2002/content-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("chidamnat2002/content-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
content-classifier
431 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
chidamnat2002's picture
chidamnat2002
Upload 10 files
323ee83 verified 11 months ago
  • onnx
    Upload 10 files 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification 11 months ago
  • config.json
    1.5 kB
    Upload 10 files 11 months ago
  • model.safetensors
    133 MB
    xet
    Upload BertForSequenceClassification 11 months ago
  • quantize_config.json
    244 Bytes
    Upload 10 files 11 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 11 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 11 months ago
  • tokenizer_config.json
    1.49 kB
    Upload 10 files 11 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 11 months ago