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mrehank209
/
bk-classification-bart-two-stage

Text Classification
Transformers
Safetensors
German
bart_with_classifier
bibliographic-classification
bk-codes
german-libraries
multi-label-classification
bart
Model card Files Files and versions
xet
Community

Instructions to use mrehank209/bk-classification-bart-two-stage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrehank209/bk-classification-bart-two-stage with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mrehank209/bk-classification-bart-two-stage")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mrehank209/bk-classification-bart-two-stage", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bk-classification-bart-two-stage
1.64 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
mrehank209's picture
mrehank209
Upload bart_backbone/model.safetensors with huggingface_hub
fc5ab1a verified 9 months ago
  • bart_backbone
    Upload bart_backbone/model.safetensors with huggingface_hub 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    2.33 kB
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  • classifier_head.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    7.73 MB
    xet
    Upload classifier_head.pt with huggingface_hub 9 months ago
  • config.json
    779 Bytes
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  • idx_to_label.json
    34.7 kB
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  • inference_example.py
    3.17 kB
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  • label_map.json
    30.9 kB
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  • merges.txt
    456 kB
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  • requirements.txt
    73 Bytes
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  • special_tokens_map.json
    279 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.24 kB
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  • vocab.json
    798 kB
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