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peihsin
/
sql_chinese_2

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

Instructions to use peihsin/sql_chinese_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use peihsin/sql_chinese_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="peihsin/sql_chinese_2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("peihsin/sql_chinese_2")
    model = AutoModel.from_pretrained("peihsin/sql_chinese_2")
  • Notebooks
  • Google Colab
  • Kaggle
sql_chinese_2
410 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
peihsin's picture
peihsin
Upload 7 files
854df17 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    0 Bytes
    Create README.md almost 3 years ago
  • config.json
    856 Bytes
    Upload 7 files almost 3 years ago
  • eval_results.txt
    69 Bytes
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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?

    409 MB
    xet
    Upload 7 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 7 files almost 3 years ago
  • tokenizer.json
    439 kB
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  • tokenizer_config.json
    342 Bytes
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  • vocab.txt
    110 kB
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