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Dl26
/
Veyra-100M

Text Classification
Transformers
Safetensors
PyTorch
English
bert
topic-classification
dbpedia
dl26
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Dl26/Veyra-100M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dl26/Veyra-100M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Dl26/Veyra-100M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Dl26/Veyra-100M")
    model = AutoModelForSequenceClassification.from_pretrained("Dl26/Veyra-100M")
  • Notebooks
  • Google Colab
  • Kaggle
Veyra-100M
407 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Ill-Ness's picture
Ill-Ness
Delete training_report.json
687480f verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    8.99 kB
    Update README.md 3 days ago
  • config.json
    1.39 kB
    Upload Veyra 3 days ago
  • model.safetensors
    406 MB
    xet
    Upload Veyra 3 days ago
  • test_report.json
    965 Bytes
    Upload Veyra 3 days ago
  • tokenizer.json
    690 kB
    Upload Veyra 3 days ago
  • tokenizer_config.json
    378 Bytes
    Upload Veyra 3 days ago