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arif481
/
crosslingual-sentiment-model

Text Classification
Transformers
Safetensors
English
Bengali
xlm-roberta
sentiment-analysis
cross-lingual
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use arif481/crosslingual-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arif481/crosslingual-sentiment-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="arif481/crosslingual-sentiment-model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("arif481/crosslingual-sentiment-model")
    model = AutoModelForSequenceClassification.from_pretrained("arif481/crosslingual-sentiment-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
crosslingual-sentiment-model
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
arif481's picture
arif481
Upload cross-lingual sentiment model
1b7f57f verified 1 day ago
  • .gitattributes
    1.57 kB
    Upload cross-lingual sentiment model 9 months ago
  • README.md
    2.35 kB
    Upload cross-lingual sentiment model 1 day ago
  • config.json
    932 Bytes
    Upload cross-lingual sentiment model 1 day ago
  • model.safetensors
    1.11 GB
    xet
    Upload cross-lingual sentiment model 1 day ago
  • tokenizer.json
    17.1 MB
    xet
    Upload cross-lingual sentiment model 1 day ago
  • tokenizer_config.json
    343 Bytes
    Upload cross-lingual sentiment model 1 day ago