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liamvbetts
/
my_awesome_model

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

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

  • Libraries
  • Transformers

    How to use liamvbetts/my_awesome_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="liamvbetts/my_awesome_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("liamvbetts/my_awesome_model")
    model = AutoModelForSequenceClassification.from_pretrained("liamvbetts/my_awesome_model")
  • Notebooks
  • Google Colab
  • Kaggle
my_awesome_model / runs
14.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
liamvbetts's picture
liamvbetts
Training in progress, epoch 2
cf47c61 verified about 2 years ago
  • Apr25_00-53-16_e2204ce599c5
    Training in progress, epoch 2 about 2 years ago
  • Apr25_01-58-07_d8305a65ad5d
    Training in progress, epoch 2 about 2 years ago