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exaggerated
/
text2vec-base-chinese-rs

Sentence Similarity
Transformers
PyTorch
Rust
bert
feature-extraction
text2vec
Model card Files Files and versions
xet
Community
3

Instructions to use exaggerated/text2vec-base-chinese-rs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use exaggerated/text2vec-base-chinese-rs with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("exaggerated/text2vec-base-chinese-rs")
    model = AutoModel.from_pretrained("exaggerated/text2vec-base-chinese-rs")
  • Notebooks
  • Google Colab
  • Kaggle
text2vec-base-chinese-rs
818 MB
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  • 1 contributor
History: 2 commits
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exaggerated
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5765f25 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    4.1 kB
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  • config.json
    856 Bytes
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  • logs.txt
    546 Bytes
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  • modules.json
    230 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    409 MB
    xet
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  • rust_model.ot
    409 MB
    xet
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  • sentence_bert_config.json
    54 Bytes
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer_config.json
    319 Bytes
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  • vocab.txt
    110 kB
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