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looper525
/
simple-bert-model

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

Instructions to use looper525/simple-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use looper525/simple-bert-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="looper525/simple-bert-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("looper525/simple-bert-model")
    model = AutoModelForSequenceClassification.from_pretrained("looper525/simple-bert-model")
  • Notebooks
  • Google Colab
  • Kaggle
simple-bert-model
439 MB
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  • 1 contributor
History: 4 commits
looper525's picture
looper525
Upload tokenizer
a484b27 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload BertForSequenceClassification about 2 years ago
  • config.json
    678 Bytes
    Upload BertForSequenceClassification about 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago