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gngpostalsrvc
/
COHeN_wl

Text Classification
Transformers
PyTorch
TensorBoard
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use gngpostalsrvc/COHeN_wl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gngpostalsrvc/COHeN_wl")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/COHeN_wl")
    model = AutoModelForSequenceClassification.from_pretrained("gngpostalsrvc/COHeN_wl", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
COHeN_wl
44.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
gngpostalsrvc's picture
gngpostalsrvc
Update config.json
eb2b690 over 3 years ago
  • runs
    Training in progress, epoch 20 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • config.json
    934 Bytes
    Update config.json over 3 years ago
  • pytorch_model.bin
    42.9 MB
    xet
    Training in progress, epoch 20 over 3 years ago
  • special_tokens_map.json
    121 Bytes
    Training in progress, epoch 1 over 3 years ago
  • tokenizer.json
    1.28 MB
    Training in progress, epoch 1 over 3 years ago
  • tokenizer_config.json
    305 Bytes
    Training in progress, epoch 1 over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, epoch 1 over 3 years ago