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sepidmnorozy
/
sentiment-5Epochs

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

Instructions to use sepidmnorozy/sentiment-5Epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sepidmnorozy/sentiment-5Epochs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sepidmnorozy/sentiment-5Epochs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sepidmnorozy/sentiment-5Epochs")
    model = AutoModelForSequenceClassification.from_pretrained("sepidmnorozy/sentiment-5Epochs")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-5Epochs
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
sepidmnorozy's picture
sepidmnorozy
update model card README.md
39b36cf almost 4 years ago
  • .gitattributes
    1.4 kB
    Training in progress, epoch 1 almost 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 4 years ago
  • README.md
    1.85 kB
    update model card README.md almost 4 years ago
  • config.json
    770 Bytes
    Training in progress, epoch 1 almost 4 years ago
  • pytorch_model.bin
    1.11 GB
    xet
    Training in progress, epoch 5 almost 4 years ago
  • special_tokens_map.json
    239 Bytes
    Training in progress, epoch 1 almost 4 years ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress, epoch 1 almost 4 years ago
  • tokenizer_config.json
    398 Bytes
    Training in progress, epoch 1 almost 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Training in progress, epoch 1 almost 4 years ago