Instructions to use McGill-NLP/AfroXLMR-large-76L-Injongo-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use McGill-NLP/AfroXLMR-large-76L-Injongo-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="McGill-NLP/AfroXLMR-large-76L-Injongo-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/AfroXLMR-large-76L-Injongo-intent") model = AutoModelForSequenceClassification.from_pretrained("McGill-NLP/AfroXLMR-large-76L-Injongo-intent") - Notebooks
- Google Colab
- Kaggle
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