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Peraboom
/
SBertV1

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Peraboom/SBertV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Peraboom/SBertV1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Peraboom/SBertV1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Peraboom/SBertV1")
    model = AutoModelForSequenceClassification.from_pretrained("Peraboom/SBertV1")
  • Notebooks
  • Google Colab
  • Kaggle
SBertV1
120 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Peraboom's picture
Peraboom
First
cf7f01b almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    265 Bytes
    First almost 3 years ago
  • config.json
    725 Bytes
    Upload 6 files almost 3 years ago
  • pytorch_model.bin
    119 MB
    xet
    Upload 6 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files almost 3 years ago
  • tokenizer.json
    712 kB
    Upload 6 files almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    Upload 6 files almost 3 years ago
  • vocab.txt
    232 kB
    Upload 6 files almost 3 years ago