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research-backup
/
relbert-old

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

Instructions to use research-backup/relbert-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use research-backup/relbert-old with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="research-backup/relbert-old")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-old")
    model = AutoModel.from_pretrained("research-backup/relbert-old")
  • Notebooks
  • Google Colab
  • Kaggle
relbert-old
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  • 1 contributor
History: 3 commits
asahi417's picture
asahi417
Update config.json
1fad837 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    845 Bytes
    Update config.json over 3 years ago
  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    update over 3 years ago
  • special_tokens_map.json
    239 Bytes
    update over 3 years ago
  • tokenizer.json
    1.36 MB
    update over 3 years ago
  • tokenizer_config.json
    289 Bytes
    update over 3 years ago
  • trainer_config.json
    518 Bytes
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  • vocab.json
    798 kB
    update over 3 years ago