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jeslev
/
roberta-large-with-hierarchy-properties

Feature Extraction
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use jeslev/roberta-large-with-hierarchy-properties with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jeslev/roberta-large-with-hierarchy-properties with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jeslev/roberta-large-with-hierarchy-properties")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jeslev/roberta-large-with-hierarchy-properties")
    model = AutoModel.from_pretrained("jeslev/roberta-large-with-hierarchy-properties")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-with-hierarchy-properties
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jesus.lovon
Model RoBERTa LARGE ECIR2024
b85101b about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    743 Bytes
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • merges.txt
    456 kB
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • special_tokens_map.json
    239 Bytes
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • tokenizer.json
    2.11 MB
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • tokenizer_config.json
    350 Bytes
    Model RoBERTa LARGE ECIR2024 about 2 years ago
  • vocab.json
    798 kB
    Model RoBERTa LARGE ECIR2024 about 2 years ago