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philmas
/
lilt-robbert-base

Feature Extraction
Transformers
Safetensors
Dutch
lilt
Model card Files Files and versions
xet
Community

Instructions to use philmas/lilt-robbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use philmas/lilt-robbert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="philmas/lilt-robbert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("philmas/lilt-robbert-base")
    model = AutoModel.from_pretrained("philmas/lilt-robbert-base")
  • Notebooks
  • Google Colab
  • Kaggle
lilt-robbert-base
526 MB
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  • 2 contributors
History: 4 commits
philmas's picture
philmas
Create README.md
4982f14 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    22 Bytes
    Create README.md over 2 years ago
  • config.json
    908 Bytes
    Upload model over 2 years ago
  • merges.txt
    502 kB
    Upload tokenizer over 2 years ago
  • model.safetensors
    522 MB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    2.19 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.21 kB
    Upload tokenizer over 2 years ago
  • vocab.json
    841 kB
    Upload tokenizer over 2 years ago