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amcoff
/
classify_skolmat

Text Classification
Transformers
PyTorch
ONNX
Swedish
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use amcoff/classify_skolmat with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="amcoff/classify_skolmat")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("amcoff/classify_skolmat")
    model = AutoModelForSequenceClassification.from_pretrained("amcoff/classify_skolmat")
  • Notebooks
  • Google Colab
  • Kaggle
classify_skolmat
997 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
amcoff's picture
amcoff
retrain on new data
d1b0c69 unverified about 3 years ago
  • .gitattributes
    152 Bytes
    retrain on new data about 3 years ago
  • .gitignore
    6 Bytes
    retrain on new data about 3 years ago
  • README.md
    411 Bytes
    add train.py about 3 years ago
  • config.json
    948 Bytes
    retrain on new data about 3 years ago
  • model.onnx
    497 MB
    xet
    retrain on new data about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    499 MB
    xet
    retrain on new data about 3 years ago
  • requirements.txt
    961 Bytes
    retrain on new data about 3 years ago
  • tokenizer.json
    1.2 MB
    xet
    onnx about 3 years ago
  • train.py
    1.57 kB
    add train.py about 3 years ago