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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
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
RogerB's picture
RogerB
Update README.md
95e7aa2 almost 3 years ago
  • logs
    End of training almost 3 years ago
  • .gitattributes
    1.57 kB
    End of training almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • README.md
    2.39 kB
    Update README.md almost 3 years ago
  • config.json
    956 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    Training in progress, epoch 3 almost 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    End of training almost 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    End of training almost 3 years ago
  • tokenizer_config.json
    418 Bytes
    End of training almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, epoch 1 almost 3 years ago