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bwahyuh
/
gemash

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

  • Libraries
  • Transformers

    How to use bwahyuh/gemash with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bwahyuh/gemash")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bwahyuh/gemash")
    model = AutoModelForSequenceClassification.from_pretrained("bwahyuh/gemash", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemash / runs
67.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
bwahyuh's picture
bwahyuh
Training in progress, epoch 4
6299bbb verified about 2 years ago
  • Jun27_10-46-17_c679f91ff766
    Training complete about 2 years ago
  • Jun27_20-16-27_876c8a59313b
    Training complete about 2 years ago
  • Jun27_20-40-25_876c8a59313b
    Training complete about 2 years ago
  • Jun27_20-55-19_84e626e2f971
    Training in progress, epoch 2 about 2 years ago
  • Jun27_21-03-59_d659fc3b4cba
    Training complete about 2 years ago
  • Jun27_21-15-34_d659fc3b4cba
    Training complete about 2 years ago
  • Jun28_09-59-44_6ad905270735
    Training complete about 2 years ago
  • Jun28_11-50-36_3b7e01ddf761
    Training in progress, epoch 4 about 2 years ago