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AntoineBlanot
/
roberta-large-seq-classif

Text Classification
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use AntoineBlanot/roberta-large-seq-classif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AntoineBlanot/roberta-large-seq-classif with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AntoineBlanot/roberta-large-seq-classif")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AntoineBlanot/roberta-large-seq-classif")
    model = AutoModelForSequenceClassification.from_pretrained("AntoineBlanot/roberta-large-seq-classif")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-seq-classif
1.42 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
AntoineBlanot's picture
AntoineBlanot
Create README.md
931b2c8 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    363 Bytes
    Create README.md about 3 years ago
  • config.json
    843 Bytes
    Upload RobertaForSequenceClassification about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    Upload RobertaForSequenceClassification about 3 years ago