Text Classification
Transformers
Safetensors
Kabyle
ber
xlm-roberta
emotion-classification
african-languages
amazigh
low-resource
goemotions
afro-asiatic
Eval Results (legacy)
text-embeddings-inference
Instructions to use boffire/kabyle-emotion-afro-xlmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boffire/kabyle-emotion-afro-xlmr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boffire/kabyle-emotion-afro-xlmr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boffire/kabyle-emotion-afro-xlmr") model = AutoModelForSequenceClassification.from_pretrained("boffire/kabyle-emotion-afro-xlmr") - Notebooks
- Google Colab
- Kaggle
Ctrl+K