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relbert
/
relbert-roberta-base-nce-conceptnet

Feature Extraction
Transformers
PyTorch
roberta
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use relbert/relbert-roberta-base-nce-conceptnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use relbert/relbert-roberta-base-nce-conceptnet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-nce-conceptnet")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-nce-conceptnet")
    model = AutoModel.from_pretrained("relbert/relbert-roberta-base-nce-conceptnet")
  • Notebooks
  • Google Colab
  • Kaggle
relbert-roberta-base-nce-conceptnet
506 MB
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  • 1 contributor
History: 3 commits
asahi417's picture
asahi417
model update
771fc3a about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    9.45 kB
    model update about 3 years ago
  • analogy.bidirection.json
    817 Bytes
    model update about 3 years ago
  • analogy.forward.json
    856 Bytes
    model update about 3 years ago
  • analogy.reverse.json
    860 Bytes
    model update about 3 years ago
  • classification.json
    4 kB
    model update about 3 years ago
  • config.json
    867 Bytes
    model update about 3 years ago
  • finetuning_config.json
    661 Bytes
    model update about 3 years ago
  • merges.txt
    456 kB
    model update 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?

    499 MB
    xet
    model update about 3 years ago
  • relation_mapping.json
    3.68 MB
    model update about 3 years ago
  • special_tokens_map.json
    280 Bytes
    model update about 3 years ago
  • tokenizer.json
    2.11 MB
    model update about 3 years ago
  • tokenizer_config.json
    380 Bytes
    model update about 3 years ago
  • vocab.json
    798 kB
    model update about 3 years ago