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jiawei1998
/
SIR

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

Instructions to use jiawei1998/SIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jiawei1998/SIR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jiawei1998/SIR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jiawei1998/SIR")
    model = AutoModel.from_pretrained("jiawei1998/SIR")
  • Notebooks
  • Google Colab
  • Kaggle
SIR
439 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
jiawei1998's picture
jiawei1998
Upload pytorch_model.bin
461d488 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    33 Bytes
    initial commit about 2 years ago
  • added_tokens.json
    82 Bytes
    init about 2 years ago
  • config.json
    658 Bytes
    init about 2 years ago
  • notremovedname.json
    2.93 kB
    init about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin about 2 years ago
  • special_tokens_map.json
    112 Bytes
    init about 2 years ago
  • tokenizer.json
    467 kB
    init about 2 years ago
  • tokenizer_config.json
    321 Bytes
    init about 2 years ago
  • vocab.txt
    232 kB
    init about 2 years ago