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gzerveas
/
CODER-TAS-B

Feature Extraction
Transformers
PyTorch
English
distilbert
Information Retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use gzerveas/CODER-TAS-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gzerveas/CODER-TAS-B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="gzerveas/CODER-TAS-B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("gzerveas/CODER-TAS-B")
    model = AutoModel.from_pretrained("gzerveas/CODER-TAS-B")
  • Notebooks
  • Google Colab
  • Kaggle
CODER-TAS-B
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gzerveas's picture
gzerveas
add tokenizer
229f931 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    95 Bytes
    Create README.md over 3 years ago
  • config.json
    578 Bytes
    add model over 3 years ago
  • pytorch_model.bin
    265 MB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 3 years ago
  • tokenizer.json
    711 kB
    add tokenizer over 3 years ago
  • tokenizer_config.json
    588 Bytes
    add tokenizer over 3 years ago
  • vocab.txt
    232 kB
    add tokenizer over 3 years ago