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sensenova
/
piccolo-base-zh

Feature Extraction
Transformers
PyTorch
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
5

Instructions to use sensenova/piccolo-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sensenova/piccolo-base-zh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sensenova/piccolo-base-zh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sensenova/piccolo-base-zh")
    model = AutoModel.from_pretrained("sensenova/piccolo-base-zh")
  • Notebooks
  • Google Colab
  • Kaggle
piccolo-base-zh / eval
7.41 kB
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  • 1 contributor
History: 2 commits
Jinkin's picture
Jinkin
Upload utils.py
cf5524e over 2 years ago
  • cmteb_eval.py
    1.06 kB
    update eval scripts over 2 years ago
  • cmteb_eval.sh
    20 Bytes
    update eval scripts over 2 years ago
  • retrieval_eval.py
    4.33 kB
    update eval scripts over 2 years ago
  • retrieval_eval.sh
    347 Bytes
    update eval scripts over 2 years ago
  • utils.py
    1.66 kB
    Upload utils.py over 2 years ago