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

  • Log In
  • Sign Up

vikvenk
/
ADR_Detection

Text Classification
Transformers
Safetensors
xlnet
Model card Files Files and versions
xet
Community

Instructions to use vikvenk/ADR_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vikvenk/ADR_Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vikvenk/ADR_Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vikvenk/ADR_Detection")
    model = AutoModelForSequenceClassification.from_pretrained("vikvenk/ADR_Detection")
  • Notebooks
  • Google Colab
  • Kaggle
ADR_Detection
470 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
vikvenk's picture
vikvenk
Rename pytorch_model.bin to model.safetensors
aa329f0 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload XLNetForSequenceClassification almost 2 years ago
  • config.json
    975 Bytes
    Upload XLNetForSequenceClassification almost 2 years ago
  • model.safetensors
    469 MB
    xet
    Rename pytorch_model.bin to model.safetensors almost 2 years ago
  • special_tokens_map.json
    346 Bytes
    Upload tokenizer almost 2 years ago
  • spiece.model
    798 kB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    2 kB
    Upload tokenizer almost 2 years ago