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hanzla
/
bert-essay-classifier

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use hanzla/bert-essay-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hanzla/bert-essay-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hanzla/bert-essay-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hanzla/bert-essay-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("hanzla/bert-essay-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
bert-essay-classifier
439 MB
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  • 1 contributor
History: 3 commits
hanzla's picture
hanzla
Upload tokenizer
6d21d63 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    727 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    711 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer over 1 year ago