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MohammadOthman
/
DistilBERT-MRPC-Lightning-DeepSpeed

Text Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use MohammadOthman/DistilBERT-MRPC-Lightning-DeepSpeed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MohammadOthman/DistilBERT-MRPC-Lightning-DeepSpeed with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MohammadOthman/DistilBERT-MRPC-Lightning-DeepSpeed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MohammadOthman/DistilBERT-MRPC-Lightning-DeepSpeed")
    model = AutoModelForSequenceClassification.from_pretrained("MohammadOthman/DistilBERT-MRPC-Lightning-DeepSpeed")
  • Notebooks
  • Google Colab
  • Kaggle
DistilBERT-MRPC-Lightning-DeepSpeed
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
MohammadOthman's picture
MohammadOthman
Push final version of DistilBERT-MRPC using DeepSpeed for high performance
ebd4b4d about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    28 Bytes
    initial commit about 2 years ago
  • config.json
    566 Bytes
    Push final version of DistilBERT-MRPC using DeepSpeed for high performance about 2 years ago
  • model.safetensors
    268 MB
    xet
    Push final version of DistilBERT-MRPC using DeepSpeed for high performance about 2 years ago