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jabo
/
klm-combined

Text Classification
Transformers
Safetensors
English
lora
combined
Model card Files Files and versions
xet
Community

Instructions to use jabo/klm-combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jabo/klm-combined with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jabo/klm-combined")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jabo/klm-combined", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
klm-combined
18.5 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
jabo's picture
jabo
Upload TextClassificationPipeline
0e84b1f verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.38 kB
    Upload README.md with huggingface_hub 6 months ago
  • adapter_config.json
    927 Bytes
    Upload TextClassificationPipeline 6 months ago
  • adapter_model.safetensors
    13.7 MB
    xet
    Upload TextClassificationPipeline 6 months ago
  • merges.txt
    456 kB
    Upload TextClassificationPipeline 6 months ago
  • special_tokens_map.json
    280 Bytes
    Upload TextClassificationPipeline 6 months ago
  • tokenizer.json
    3.56 MB
    Upload TextClassificationPipeline 6 months ago
  • tokenizer_config.json
    1.32 kB
    Upload TextClassificationPipeline 6 months ago
  • vocab.json
    798 kB
    Upload TextClassificationPipeline 6 months ago