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

  • Log In
  • Sign Up

GenTelLab
/
gentelshield-v1

Text Classification
Transformers
ONNX
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use GenTelLab/gentelshield-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GenTelLab/gentelshield-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GenTelLab/gentelshield-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("GenTelLab/gentelshield-v1")
    model = AutoModelForSequenceClassification.from_pretrained("GenTelLab/gentelshield-v1")
  • Notebooks
  • Google Colab
  • Kaggle
gentelshield-v1
1.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
GenTelLab's picture
GenTelLab
add metrics and dependencies
6fa3830 verified over 1 year ago
  • images
    Upload the imagesr over 1 year ago
  • .DS_Store
    6.15 kB
    Upload the imagesr over 1 year ago
  • .gitattributes
    1.62 kB
    Upload the imagesr over 1 year ago
  • README.md
    5.66 kB
    add metrics and dependencies over 1 year ago
  • config.json
    850 Bytes
    Upload 6 files over 1 year ago
  • detection_pipeline.ipynb
    8.28 kB
    feat: add the example for loading the model over 1 year ago
  • model.onnx
    1.11 GB
    xet
    Upload 6 files over 1 year ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload 6 files over 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload 6 files over 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Upload 6 files over 1 year ago
  • tokenizer_config.json
    1.34 kB
    Upload 6 files over 1 year ago