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LACAI
/
roberta-base-PFG-progression

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

Instructions to use LACAI/roberta-base-PFG-progression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LACAI/roberta-base-PFG-progression with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LACAI/roberta-base-PFG-progression")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LACAI/roberta-base-PFG-progression")
    model = AutoModelForSequenceClassification.from_pretrained("LACAI/roberta-base-PFG-progression")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-PFG-progression
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AbrahamSanders's picture
AbrahamSanders
First model version
5b76598 almost 4 years ago
  • runs
    First model version almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    795 Bytes
    Update README.md almost 4 years ago
  • config.json
    796 Bytes
    First model version almost 4 years ago
  • merges.txt
    456 kB
    First model version almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    First model version almost 4 years ago
  • special_tokens_map.json
    772 Bytes
    First model version almost 4 years ago
  • tokenizer_config.json
    1.31 kB
    First model version almost 4 years ago
  • vocab.json
    899 kB
    First model version almost 4 years ago