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ainewtrend07
/
microsoft-deberta-v2-xlarge

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ainewtrend07/microsoft-deberta-v2-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ainewtrend07/microsoft-deberta-v2-xlarge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ainewtrend07/microsoft-deberta-v2-xlarge")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ainewtrend07/microsoft-deberta-v2-xlarge")
    model = AutoModelForSequenceClassification.from_pretrained("ainewtrend07/microsoft-deberta-v2-xlarge")
  • Notebooks
  • Google Colab
  • Kaggle
microsoft-deberta-v2-xlarge
3.56 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ainewtrend07's picture
ainewtrend07
Upload DebertaV2ForSequenceClassification
72fa5ff verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload DebertaV2ForSequenceClassification 7 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer 7 months ago
  • config.json
    1.47 kB
    Upload DebertaV2ForSequenceClassification 7 months ago
  • model.safetensors
    3.55 GB
    xet
    Upload DebertaV2ForSequenceClassification 7 months ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer 7 months ago
  • spm.model
    2.45 MB
    xet
    Upload tokenizer 7 months ago
  • tokenizer.json
    8.64 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.32 kB
    Upload tokenizer 7 months ago