Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

RogerB
/
kin-sentiC

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

Instructions to use RogerB/kin-sentiC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RogerB/kin-sentiC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="RogerB/kin-sentiC")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("RogerB/kin-sentiC")
    model = AutoModelForSequenceClassification.from_pretrained("RogerB/kin-sentiC")
  • Notebooks
  • Google Colab
  • Kaggle
kin-sentiC / logs
6.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
RogerB's picture
RogerB
End of training
7850a93 almost 3 years ago
  • events.out.tfevents.1689673646.2fac2bcf9bd1.570.0
    5.99 kB
    xet
    End of training almost 3 years ago
  • events.out.tfevents.1689675304.2fac2bcf9bd1.570.1
    405 Bytes
    xet
    End of training almost 3 years ago