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Dizex
/
FoodBaseBERT-NER

Token Classification
Transformers
PyTorch
Safetensors
English
bert
FoodBase
NER
Model card Files Files and versions
xet
Community
1

Instructions to use Dizex/FoodBaseBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dizex/FoodBaseBERT-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Dizex/FoodBaseBERT-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Dizex/FoodBaseBERT-NER")
    model = AutoModelForTokenClassification.from_pretrained("Dizex/FoodBaseBERT-NER")
  • Notebooks
  • Google Colab
  • Kaggle
FoodBaseBERT-NER
863 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
Dizex's picture
Dizex
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8096d47 about 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    1.32 kB
    Update README.md over 3 years ago
  • added_tokens.json
    20 Bytes
    Upload tokenizer over 3 years ago
  • config.json
    814 Bytes
    Upload BertForTokenClassification over 3 years ago
  • model.safetensors
    431 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    431 MB
    xet
    Upload BertForTokenClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    350 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    213 kB
    Upload tokenizer over 3 years ago