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matmei
/
MulticlassReaction

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use matmei/MulticlassReaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use matmei/MulticlassReaction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="matmei/MulticlassReaction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("matmei/MulticlassReaction")
    model = AutoModelForSequenceClassification.from_pretrained("matmei/MulticlassReaction", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MulticlassReaction
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
matmei's picture
matmei
Model save
f49d792 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    1.61 kB
    Model save 2 days ago
  • config.json
    824 Bytes
    Training in progress, epoch 1 4 days ago
  • model.safetensors
    268 MB
    xet
    Model save 2 days ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 4 days ago
  • tokenizer_config.json
    366 Bytes
    Training in progress, epoch 1 4 days ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, epoch 1 2 days ago