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boffire
/
kabyle-emotion-xlmr

Text Classification
Transformers
Safetensors
Kabyle
ber
xlm-roberta
kabyle
tamazight
emotion-classification
sentiment-analysis
low-resource
cross-lingual-transfer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use boffire/kabyle-emotion-xlmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use boffire/kabyle-emotion-xlmr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="boffire/kabyle-emotion-xlmr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("boffire/kabyle-emotion-xlmr")
    model = AutoModelForSequenceClassification.from_pretrained("boffire/kabyle-emotion-xlmr")
  • Notebooks
  • Google Colab
  • Kaggle
kabyle-emotion-xlmr
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
boffire's picture
boffire
Update README.md
a19a3e3 verified 3 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 5 days ago
  • README.md
    6.25 kB
    Update README.md 3 days ago
  • config.json
    1.1 kB
    Upload XLMRobertaForSequenceClassification 3 days ago
  • model.safetensors
    1.11 GB
    xet
    Upload XLMRobertaForSequenceClassification 3 days ago
  • tokenizer.json
    16.8 MB
    xet
    Upload tokenizer 5 days ago
  • tokenizer_config.json
    314 Bytes
    Upload tokenizer 3 days ago