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rishavranaut
/
flanT5_Task2

Text Classification
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rishavranaut/flanT5_Task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rishavranaut/flanT5_Task2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rishavranaut/flanT5_Task2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rishavranaut/flanT5_Task2")
    model = AutoModelForSequenceClassification.from_pretrained("rishavranaut/flanT5_Task2")
  • Notebooks
  • Google Colab
  • Kaggle
flanT5_Task2 / runs /Feb09_13-46-37_iit-p
13.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
rishavranaut's picture
rishavranaut
Training in progress, step 2500
9848ff1 verified over 1 year ago
  • events.out.tfevents.1739089003.iit-p
    13.1 kB
    xet
    Training in progress, step 2500 over 1 year ago
  • events.out.tfevents.1739103050.iit-p
    527 Bytes
    xet
    Training in progress, step 2500 over 1 year ago