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

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

Instructions to use AIPsy/bert-base-therapist-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-therapist-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-therapist-topic-classification-eng")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AIPsy/bert-base-therapist-topic-classification-eng")
    model = AutoModelForSequenceClassification.from_pretrained("AIPsy/bert-base-therapist-topic-classification-eng")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-therapist-topic-classification-eng
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  • 2 contributors
History: 16 commits
VadZhen's picture
VadZhen
Update README.md
7a74c4e verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    6.86 kB
    Update README.md 14 days ago
  • config.json
    2.4 kB
    Upload BertForSequenceClassification about 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago