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nattkorat
/
trigger_cls

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use nattkorat/trigger_cls with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nattkorat/trigger_cls")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nattkorat/trigger_cls")
    model = AutoModelForSequenceClassification.from_pretrained("nattkorat/trigger_cls")
  • Notebooks
  • Google Colab
  • Kaggle
trigger_cls
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
nattkorat's picture
nattkorat
Model save
f47c726 verified 9 months ago
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 10 months ago
  • README.md
    1.97 kB
    Model save 9 months ago
  • config.json
    1.02 kB
    Training in progress, epoch 1 9 months ago
  • model.safetensors
    1.11 GB
    xet
    Training in progress, epoch 5 9 months ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, epoch 1 10 months ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, epoch 1 10 months ago
  • tokenizer_config.json
    1.18 kB
    Training in progress, epoch 1 10 months ago
  • training_args.bin
    5.65 kB
    xet
    Training in progress, epoch 1 9 months ago