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junujunu
/
roberta-base-vts

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

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

  • Libraries
  • Transformers

    How to use junujunu/roberta-base-vts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="junujunu/roberta-base-vts")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("junujunu/roberta-base-vts")
    model = AutoModel.from_pretrained("junujunu/roberta-base-vts")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-vts
444 MB
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  • 1 contributor
History: 6 commits
junujunu's picture
junujunu
Upload model
10c4fd4 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    762 Bytes
    Upload model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    443 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    752 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    591 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    248 kB
    Upload tokenizer about 3 years ago