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thtang
/
ALL_862873

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

Instructions to use thtang/ALL_862873 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thtang/ALL_862873 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="thtang/ALL_862873")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("thtang/ALL_862873")
    model = AutoModel.from_pretrained("thtang/ALL_862873")
  • Notebooks
  • Google Colab
  • Kaggle
ALL_862873
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  • 1 contributor
History: 14 commits
thtang's picture
thtang
Update README.md
ee45003 over 2 years ago
  • 1_Pooling
    Upload folder using huggingface_hub over 2 years ago
  • .gitattributes
    1.62 kB
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • modules.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    471 MB
    xet
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    496 Bytes
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  • unigram.json
    14.8 MB
    xet
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