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palusi
/
BertSent

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 palusi/BertSent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use palusi/BertSent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="palusi/BertSent")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("palusi/BertSent")
    model = AutoModelForSequenceClassification.from_pretrained("palusi/BertSent")
  • Notebooks
  • Google Colab
  • Kaggle
BertSent / runs
13.3 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
palusi's picture
palusi
Training in progress, epoch 1
031e41b verified over 1 year ago
  • Feb06_08-51-59_f10a0be27e9b
    Training in progress, epoch 1 over 1 year ago
  • Feb06_09-12-33_f10a0be27e9b
    Training in progress, epoch 1 over 1 year ago