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JeremiahZ
/
TinyBERT_4L_zh_backup

Feature Extraction
Transformers
PyTorch
Safetensors
Chinese
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use JeremiahZ/TinyBERT_4L_zh_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JeremiahZ/TinyBERT_4L_zh_backup with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JeremiahZ/TinyBERT_4L_zh_backup")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/TinyBERT_4L_zh_backup")
    model = AutoModel.from_pretrained("JeremiahZ/TinyBERT_4L_zh_backup")
  • Notebooks
  • Google Colab
  • Kaggle
TinyBERT_4L_zh_backup
91.9 MB
Ctrl+K
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  • 3 contributors
History: 5 commits
JeremiahZ's picture
JeremiahZ
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
c9093d2 about 3 years ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    424 Bytes
    Create README.md almost 4 years ago
  • config.json
    714 Bytes
    add model almost 4 years ago
  • model.safetensors
    45.7 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    45.7 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    439 kB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    369 Bytes
    add tokenizer almost 4 years ago
  • vocab.txt
    110 kB
    add tokenizer almost 4 years ago