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lindazeng979
/
codemixed-sentiment-models

Text Classification
Transformers
Safetensors
English
Spanish
Malayalam
sentiment-analysis
code-switching
code-mixed
data-augmentation
llm-augmentation
spanglish
spanish-english
malayalam-english
mbert
xlm-roberta
xlm-t
low-resource
Model card Files Files and versions
xet
Community

Instructions to use lindazeng979/codemixed-sentiment-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lindazeng979/codemixed-sentiment-models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lindazeng979/codemixed-sentiment-models")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lindazeng979/codemixed-sentiment-models", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
codemixed-sentiment-models / important-models
19.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lindazeng979's picture
lindazeng979
Add important-models
75c8ded verified 8 days ago
  • Malayalam-English Models
    Add important-models 8 days ago
  • Reduced Spanglish Models
    Add important-models 8 days ago
  • Spanglish Models
    Add important-models 8 days ago