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AbeHou
/
SemStamp-c4-sbert

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

Instructions to use AbeHou/SemStamp-c4-sbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AbeHou/SemStamp-c4-sbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AbeHou/SemStamp-c4-sbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AbeHou/SemStamp-c4-sbert")
    model = AutoModel.from_pretrained("AbeHou/SemStamp-c4-sbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SemStamp-c4-sbert
439 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
AbeHou's picture
AbeHou
Upload pytorch_model.bin
a77dce8 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    613 Bytes
    Upload 6 files about 2 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload pytorch_model.bin about 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload 6 files about 2 years ago
  • tokenizer.json
    711 kB
    Upload 6 files about 2 years ago
  • tokenizer_config.json
    357 Bytes
    Upload 6 files about 2 years ago
  • training_args.bin
    4.14 kB
    xet
    Upload 6 files about 2 years ago
  • vocab.txt
    232 kB
    Upload 6 files about 2 years ago