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seungbo7747
/
testModel

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

Instructions to use seungbo7747/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seungbo7747/testModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="seungbo7747/testModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("seungbo7747/testModel")
    model = AutoModelForSequenceClassification.from_pretrained("seungbo7747/testModel")
  • Notebooks
  • Google Colab
  • Kaggle
testModel
437 MB
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  • 1 contributor
History: 3 commits
seungbo7747's picture
seungbo7747
Upload tokenizer
b8293f7 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification almost 2 years ago
  • config.json
    1.04 kB
    Upload BertForSequenceClassification almost 2 years ago
  • model.safetensors
    436 MB
    xet
    Upload BertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    722 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    250 kB
    Upload tokenizer almost 2 years ago