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LucasMagnana
/
Pictalk_mobile

Fill-Mask
Transformers
Safetensors
mobilebert
Model card Files Files and versions
xet
Community

Instructions to use LucasMagnana/Pictalk_mobile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LucasMagnana/Pictalk_mobile with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="LucasMagnana/Pictalk_mobile")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("LucasMagnana/Pictalk_mobile")
    model = AutoModelForMaskedLM.from_pretrained("LucasMagnana/Pictalk_mobile")
  • Notebooks
  • Google Colab
  • Kaggle
Pictalk_mobile
147 MB
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  • 1 contributor
History: 111 commits
LucasMagnana's picture
LucasMagnana
Upload tokenizer
0bac1ed verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    898 Bytes
    Upload MobileBertForMaskedLM over 2 years ago
  • model.safetensors
    147 MB
    xet
    Upload MobileBertForMaskedLM over 2 years ago
  • special_tokens_map.json
    125 Bytes
    >>> Epoch 0: Loss:4.005602836608887, Perplexity: 54.904913116157175 over 2 years ago
  • tokenizer.json
    711 kB
    >>> Epoch 0: Loss:4.005602836608887, Perplexity: 54.904913116157175 over 2 years ago
  • tokenizer_config.json
    1.22 kB
    >>> Epoch 0: Loss:4.005602836608887, Perplexity: 54.904913116157175 over 2 years ago
  • vocab.txt
    232 kB
    >>> Epoch 0: Loss:4.005602836608887, Perplexity: 54.904913116157175 over 2 years ago