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clapAI
/
roberta-base-multilingual-sentiment

Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
sentiment
multilingual
modernbert
sentiment-analysis
product-reviews
place-reviews
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use clapAI/roberta-base-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use clapAI/roberta-base-multilingual-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="clapAI/roberta-base-multilingual-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("clapAI/roberta-base-multilingual-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("clapAI/roberta-base-multilingual-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-multilingual-sentiment / runs
1.41 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
hungnm's picture
hungnm
End of training
9e9b59c verified over 1 year ago
  • Jan01_00-17-43_hn-fornix-testing-gpu-platform-2
    Training in progress, epoch 1 over 1 year ago
  • Jan01_01-02-18_hn-fornix-testing-gpu-platform-2
    Training in progress, epoch 1 over 1 year ago
  • Jan01_10-52-53_hn-fornix-testing-gpu-platform-2
    End of training over 1 year ago
  • Jan02_10-47-18_hn-fornix-testing-gpu-platform-2
    End of training over 1 year ago