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philschmid
/
MiniLMv2-L6-H384-sst2

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use philschmid/MiniLMv2-L6-H384-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use philschmid/MiniLMv2-L6-H384-sst2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="philschmid/MiniLMv2-L6-H384-sst2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("philschmid/MiniLMv2-L6-H384-sst2")
    model = AutoModelForSequenceClassification.from_pretrained("philschmid/MiniLMv2-L6-H384-sst2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MiniLMv2-L6-H384-sst2 / logs
11.3 kB
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  • 1 contributor
History: 6 commits
philschmid's picture
philschmid
End of training
edb0d6e over 4 years ago
  • 1649426059.0300944
    Training in progress, epoch 1 over 4 years ago
  • events.out.tfevents.1649426059.algo-1.599.0
    6.22 kB
    xet
    End of training over 4 years ago
  • events.out.tfevents.1649426207.algo-1.599.2
    363 Bytes
    xet
    End of training over 4 years ago