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LucasMagnana
/
Pictalk_distil

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

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

  • Libraries
  • Transformers

    How to use LucasMagnana/Pictalk_distil with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="LucasMagnana/Pictalk_distil")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("LucasMagnana/Pictalk_distil")
    model = AutoModelForMaskedLM.from_pretrained("LucasMagnana/Pictalk_distil")
  • Notebooks
  • Google Colab
  • Kaggle
Pictalk_distil
297 MB
Ctrl+K
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  • 1 contributor
History: 39 commits
LucasMagnana's picture
LucasMagnana
Upload encoded_layer.t with huggingface_hub
45c6035 verified about 2 years ago
  • .gitattributes
    1.57 kB
    Upload encoded_layer.t with huggingface_hub over 2 years ago
  • README.md
    5.18 kB
    Upload DistilBertForMaskedLM about 2 years ago
  • added_tokens.json
    200 kB
    Upload tokenizer about 2 years ago
  • config.json
    552 Bytes
    Upload DistilBertForMaskedLM about 2 years ago
  • encoded_layer.t
    2.47 MB
    xet
    Upload encoded_layer.t with huggingface_hub about 2 years ago
  • model.safetensors
    291 MB
    xet
    Upload DistilBertForMaskedLM about 2 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.33 MB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
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