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SADAF-IMAMU
/
Is_there_relation

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use SADAF-IMAMU/Is_there_relation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SADAF-IMAMU/Is_there_relation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SADAF-IMAMU/Is_there_relation")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SADAF-IMAMU/Is_there_relation")
    model = AutoModelForSequenceClassification.from_pretrained("SADAF-IMAMU/Is_there_relation", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Is_there_relation / runs
19.1 kB
Ctrl+K
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  • 1 contributor
History: 16 commits
SADAF-IMAMU's picture
SADAF-IMAMU
Is_there_relation
6884ffe over 3 years ago
  • May21_10-36-16_daa5604a0e4b
    Is_there_relation over 3 years ago