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lchen001
/
new_location

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use lchen001/new_location with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lchen001/new_location with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lchen001/new_location")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lchen001/new_location")
    model = AutoModelForSequenceClassification.from_pretrained("lchen001/new_location")
  • Notebooks
  • Google Colab
  • Kaggle
new_location
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lchen001's picture
lchen001
update model card README.md
da4475f about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    lchen001/headlines_seed_9_1000_distbert_test.model about 3 years ago
  • README.md
    1.49 kB
    update model card README.md about 3 years ago
  • config.json
    615 Bytes
    lchen001/headlines_seed_9_1000_distbert_test.model about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    lchen001/headlines_seed_9_1000_distbert_test.model about 3 years ago
  • training_args.bin
    3.52 kB
    xet
    lchen001/headlines_seed_9_1000_distbert_test.model about 3 years ago