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AiLab-IMCS-UL
/
lv-mbert-base

Fill-Mask
Transformers
Safetensors
Latvian
modernbert
latvian
encoder
masked-lm
Model card Files Files and versions
xet
Community

Instructions to use AiLab-IMCS-UL/lv-mbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AiLab-IMCS-UL/lv-mbert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="AiLab-IMCS-UL/lv-mbert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AiLab-IMCS-UL/lv-mbert-base")
    model = AutoModelForMaskedLM.from_pretrained("AiLab-IMCS-UL/lv-mbert-base")
  • Notebooks
  • Google Colab
  • Kaggle
lv-mbert-base
646 MB
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  • 1 contributor
History: 2 commits
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artursz
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  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
    989 Bytes
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  • model.safetensors
    645 MB
    xet
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  • special_tokens_map.json
    969 Bytes
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  • tokenizer.json
    970 kB
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  • tokenizer_config.json
    18.8 kB
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