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flexsystems
/
flex-e2e-super-tiny-bert-model

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

Instructions to use flexsystems/flex-e2e-super-tiny-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use flexsystems/flex-e2e-super-tiny-bert-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="flexsystems/flex-e2e-super-tiny-bert-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("flexsystems/flex-e2e-super-tiny-bert-model")
    model = AutoModel.from_pretrained("flexsystems/flex-e2e-super-tiny-bert-model")
  • Notebooks
  • Google Colab
  • Kaggle
flex-e2e-super-tiny-bert-model
14.8 kB
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  • 1 contributor
History: 4 commits
gcheronflex's picture
gcheronflex
Update README.md
de86439 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.98 kB
    Update README.md about 1 year ago
  • config.json
    571 Bytes
    Upload model about 1 year ago
  • model.safetensors
    9.18 kB
    xet
    Upload model about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.26 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    157 Bytes
    Upload tokenizer about 1 year ago