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lanwuwei
/
BERTOverflow_stackoverflow_github

Feature Extraction
Transformers
PyTorch
JAX
Safetensors
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use lanwuwei/BERTOverflow_stackoverflow_github with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="lanwuwei/BERTOverflow_stackoverflow_github")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")
    model = AutoModel.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")
  • Notebooks
  • Google Colab
  • Kaggle
BERTOverflow_stackoverflow_github
1.79 GB
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  • 3 contributors
History: 20 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f016a65 about 3 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    1.01 kB
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  • config.json
    3.24 kB
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  • flax_model.msgpack
    596 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    596 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    596 MB
    xet
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  • special_tokens_map.json
    156 Bytes
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  • tokenizer_config.json
    24 Bytes
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  • vocab.txt
    660 kB
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