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HongzheBi
/
MPNet-finetune

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

Instructions to use HongzheBi/MPNet-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HongzheBi/MPNet-finetune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="HongzheBi/MPNet-finetune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("HongzheBi/MPNet-finetune")
    model = AutoModel.from_pretrained("HongzheBi/MPNet-finetune")
  • Notebooks
  • Google Colab
  • Kaggle
MPNet-finetune
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  • 1 contributor
History: 4 commits
HongzheBi's picture
HongzheBi
Upload config.json
af53fa1 almost 3 years ago
  • 1_Pooling
    Upload config.json almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    613 Bytes
    Upload 8 files almost 3 years ago
  • config_sentence_transformers.json
    123 Bytes
    Upload 8 files almost 3 years ago
  • modules.json
    229 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload pytorch_model.bin almost 3 years ago
  • sentence_bert_config.json
    53 Bytes
    Upload 8 files almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload 8 files almost 3 years ago
  • tokenizer.json
    711 kB
    Upload 8 files almost 3 years ago
  • tokenizer_config.json
    357 Bytes
    Upload 8 files almost 3 years ago
  • vocab.txt
    232 kB
    Upload 8 files almost 3 years ago