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Data-Lab
/
ml-topics-classifier

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

Instructions to use Data-Lab/ml-topics-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Data-Lab/ml-topics-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Data-Lab/ml-topics-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Data-Lab/ml-topics-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Data-Lab/ml-topics-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
ml-topics-classifier
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  • 1 contributor
History: 3 commits
Denn231's picture
Denn231
Upload TextClassificationPipeline
401c038 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.17 kB
    Upload TextClassificationPipeline 5 months ago
  • config.json
    1.92 kB
    Upload TextClassificationPipeline 5 months ago
  • model.safetensors
    513 MB
    xet
    Upload TextClassificationPipeline 2 months ago
  • special_tokens_map.json
    732 Bytes
    Upload TextClassificationPipeline 5 months ago
  • tokenizer.json
    1.39 MB
    Upload TextClassificationPipeline 2 months ago
  • tokenizer_config.json
    1.44 kB
    Upload TextClassificationPipeline 2 months ago
  • vocab.txt
    521 kB
    Upload TextClassificationPipeline 5 months ago