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codesj
/
roberta-large-vira-intents-live

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

Instructions to use codesj/roberta-large-vira-intents-live with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codesj/roberta-large-vira-intents-live with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="codesj/roberta-large-vira-intents-live")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("codesj/roberta-large-vira-intents-live")
    model = AutoModelForSequenceClassification.from_pretrained("codesj/roberta-large-vira-intents-live")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-vira-intents-live
1.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
codesj's picture
codesj
Upload tokenizer
6de1a41 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    10.6 kB
    Upload RobertaForSequenceClassification about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    Upload RobertaForSequenceClassification about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    382 Bytes
    Upload tokenizer about 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 3 years ago