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AIPsy
/
bert-base-client-topic-classification-eng

Text Classification
Transformers
Safetensors
English
bert
PyTorch
multi-class-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AIPsy/bert-base-client-topic-classification-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AIPsy/bert-base-client-topic-classification-eng with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AIPsy/bert-base-client-topic-classification-eng")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
    model = AutoModelForSequenceClassification.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-client-topic-classification-eng
439 MB
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  • 2 contributors
History: 16 commits
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myentity
Update README.md
5804ce1 verified about 15 hours ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    10 kB
    Update README.md about 15 hours ago
  • config.json
    2.79 kB
    Upload BertForSequenceClassification about 15 hours ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 15 hours ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 15 hours ago
  • tokenizer_config.json
    321 Bytes
    Upload tokenizer about 15 hours ago