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Dev-DGT
/
food-dbert-multiling

Token Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use Dev-DGT/food-dbert-multiling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dev-DGT/food-dbert-multiling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Dev-DGT/food-dbert-multiling")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Dev-DGT/food-dbert-multiling")
    model = AutoModelForTokenClassification.from_pretrained("Dev-DGT/food-dbert-multiling", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
food-dbert-multiling
540 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Dev-DGT's picture
Dev-DGT
Readme widget v4
b648054 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    323 Bytes
    Readme widget v4 about 5 years ago
  • config.json
    707 Bytes
    First test about 5 years ago
  • pytorch_model.bin
    539 MB
    xet
    Readme and base model about 5 years ago
  • special_tokens_map.json
    112 Bytes
    First test about 5 years ago
  • tokenizer_config.json
    303 Bytes
    First test about 5 years ago
  • training_args.bin
    2.22 kB
    xet
    First test about 5 years ago
  • vocab.txt
    996 kB
    First test about 5 years ago