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danielsc
/
bert_test

Automatic Speech Recognition
Transformers
PyTorch
English
bert
text-classification
exbert
autotrain-compatible
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use danielsc/bert_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="danielsc/bert_test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danielsc/bert_test")
    model = AutoModelForSequenceClassification.from_pretrained("danielsc/bert_test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert_test
867 MB
Ctrl+K
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  • 2 contributors
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
de38447 verified about 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    9.05 kB
    Update README.md over 3 years ago
  • config.json
    847 Bytes
    intitial tes over 3 years ago
  • model.safetensors
    433 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin
    433 MB
    xet
    intitial tes over 3 years ago
  • tokenizer.json
    436 kB
    intitial tes over 3 years ago
  • tokenizer_config.json
    29 Bytes
    intitial tes over 3 years ago