Text Classification
Transformers
Safetensors
xlm-roberta
intent-classification
banking
multilingual
nlp
yoruba
hausa
igbo
nigeria
text-embeddings-inference
Instructions to use Donoe/NaijaMultilingualBank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Donoe/NaijaMultilingualBank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Donoe/NaijaMultilingualBank")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Donoe/NaijaMultilingualBank") model = AutoModelForSequenceClassification.from_pretrained("Donoe/NaijaMultilingualBank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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