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Pulastya0
/
Deberta-V5-BEST-Employee-Final

Text Classification
Transformers
Safetensors
English
deberta-v2
deberta
it-support
ticket-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Pulastya0/Deberta-V5-BEST-Employee-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Pulastya0/Deberta-V5-BEST-Employee-Final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Pulastya0/Deberta-V5-BEST-Employee-Final")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Pulastya0/Deberta-V5-BEST-Employee-Final")
    model = AutoModelForSequenceClassification.from_pretrained("Pulastya0/Deberta-V5-BEST-Employee-Final")
  • Notebooks
  • Google Colab
  • Kaggle
Deberta-V5-BEST-Employee-Final
749 MB
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  • 1 contributor
History: 5 commits
Pulastya0's picture
Pulastya0
Upload DebertaV2ForSequenceClassification
93dda0f verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    3.4 kB
    Update README.md 8 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer 8 months ago
  • config.json
    1.59 kB
    Upload DebertaV2ForSequenceClassification 8 months ago
  • model.safetensors
    738 MB
    xet
    Upload DebertaV2ForSequenceClassification 8 months ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer 8 months ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer.json
    8.65 MB
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.51 kB
    Upload tokenizer 8 months ago