Instructions to use Edwintos/Swahili_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edwintos/Swahili_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Edwintos/Swahili_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Edwintos/Swahili_Classifier") model = AutoModelForSequenceClassification.from_pretrained("Edwintos/Swahili_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b00c2ceb81825860d44cbc47a0c87cd84942e6c1a7e688a25453a9be9d792e0
- Size of remote file:
- 2.24 GB
- SHA256:
- 1fa0fc9f66755ccdc904480ec529764aefb52adc0d3f13d651b1d7f36d1edb96
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