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Hacktrix-121
/
deberta-v3-base-opp115-multilabel-v2

Text Classification
Transformers
Safetensors
English
deberta-v2
multilabel-classification
deberta-v3
opp115
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Hacktrix-121/deberta-v3-base-opp115-multilabel-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hacktrix-121/deberta-v3-base-opp115-multilabel-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
    model = AutoModelForSequenceClassification.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-base-opp115-multilabel-v2
749 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Hacktrix-121's picture
Hacktrix-121
Add complete model card with metrics
5af16bd verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    983 Bytes
    Add complete model card with metrics 6 months ago
  • added_tokens.json
    23 Bytes
    Upload fine-tuned v2 model 6 months ago
  • config.json
    1.4 kB
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  • metrics.json
    196 Bytes
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  • model.safetensors
    738 MB
    xet
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  • special_tokens_map.json
    970 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.65 MB
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  • tokenizer_config.json
    1.42 kB
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