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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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 2 years ago by
SFconvertbot

About open-source license and used for commercial purposes

🤗 1
2
#1 opened over 2 years ago by
LronDC
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