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SeppeV
/
BERT_test_model

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

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

  • Libraries
  • Transformers

    How to use SeppeV/BERT_test_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SeppeV/BERT_test_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SeppeV/BERT_test_model")
    model = AutoModelForSequenceClassification.from_pretrained("SeppeV/BERT_test_model")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_test_model
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SeppeV's picture
SeppeV
Training in progress, step 795
b2ddd64 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer about 1 year ago
  • config.json
    800 Bytes
    Training in progress, step 500 about 1 year ago
  • model.safetensors
    438 MB
    xet
    Training in progress, step 795 about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.36 kB
    Upload tokenizer about 1 year ago
  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 500 about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago