Text Classification
Transformers
Safetensors
xlm-roberta
language-detection
nigerian-languages
pidgin
yoruba
hausa
igbo
multilingual
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use posi-olomo/padie-extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use posi-olomo/padie-extended with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="posi-olomo/padie-extended")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("posi-olomo/padie-extended") model = AutoModelForSequenceClassification.from_pretrained("posi-olomo/padie-extended", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K