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Gwaldo
/
bert-1

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

Instructions to use Gwaldo/bert-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gwaldo/bert-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Gwaldo/bert-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Gwaldo/bert-1")
    model = AutoModel.from_pretrained("Gwaldo/bert-1")
  • Notebooks
  • Google Colab
  • Kaggle
bert-1
433 MB
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  • 1 contributor
History: 2 commits
Gwaldo's picture
Gwaldo
Upload model
56f2e44 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload model 9 months ago
  • config.json
    618 Bytes
    Upload model 9 months ago
  • model.safetensors
    433 MB
    xet
    Upload model 9 months ago