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numblilbug
/
interior-rubert-sentiment-model

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use numblilbug/interior-rubert-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use numblilbug/interior-rubert-sentiment-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="numblilbug/interior-rubert-sentiment-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("numblilbug/interior-rubert-sentiment-model")
    model = AutoModelForSequenceClassification.from_pretrained("numblilbug/interior-rubert-sentiment-model")
  • Notebooks
  • Google Colab
  • Kaggle
interior-rubert-sentiment-model / runs
19.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
numblilbug's picture
numblilbug
End of training
367ab7a over 2 years ago
  • Dec29_09-16-01_7c25f8610f0f
    Training in progress, epoch 1 over 2 years ago
  • Dec29_09-21-51_7c25f8610f0f
    Training in progress, epoch 1 over 2 years ago
  • Dec29_09-27-13_7c25f8610f0f
    Training in progress, epoch 1 over 2 years ago
  • Dec29_09-39-49_454b486c958a
    End of training over 2 years ago