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YituTech
/
conv-bert-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
convbert
Model card Files Files and versions
xet
Community
7

Instructions to use YituTech/conv-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YituTech/conv-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="YituTech/conv-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("YituTech/conv-bert-base")
    model = AutoModel.from_pretrained("YituTech/conv-bert-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

๐Ÿ“‹ Documentation Enhancement Suggestion

#7 opened 3 months ago by
CroviaTrust

๐Ÿ“‹ Documentation Enhancement Suggestion

#6 opened 3 months ago by
CroviaTrust

Create README.md

#5 opened about 2 years ago by
Poisoner

Adds missing tokenizer configuration file

#4 opened over 2 years ago by
lysandre

Create README.md

#3 opened over 2 years ago by
shobhitjethani

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot
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