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SzegedAI
/
bert-tiny5M

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

Instructions to use SzegedAI/bert-tiny5M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SzegedAI/bert-tiny5M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SzegedAI/bert-tiny5M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SzegedAI/bert-tiny5M")
    model = AutoModel.from_pretrained("SzegedAI/bert-tiny5M")
  • Notebooks
  • Google Colab
  • Kaggle
bert-tiny5M
17.7 MB
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  • 1 contributor
History: 3 commits
berendg's picture
berendg
Upload tokenizer
a0c4a00 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    620 Bytes
    Upload model almost 3 years ago
  • pytorch_model.bin
    16.8 MB
    xet
    Upload model almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    310 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    213 kB
    Upload tokenizer almost 3 years ago