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icelab
/
TraceClassifier

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

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

  • Libraries
  • Transformers

    How to use icelab/TraceClassifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="icelab/TraceClassifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("icelab/TraceClassifier")
    model = AutoModelForSequenceClassification.from_pretrained("icelab/TraceClassifier")
  • Notebooks
  • Google Colab
  • Kaggle
TraceClassifier
502 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
PaulD's picture
PaulD
Upload RobertaForSequenceClassification
adab31c over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    854 Bytes
    Upload RobertaForSequenceClassification over 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Upload RobertaForSequenceClassification over 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    438 Bytes
    Upload tokenizer over 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer over 3 years ago