Token Classification
Transformers
Safetensors
xlm-roberta
code-switching
yoruba
african-nlp
language-identification
lid
Eval Results (legacy)
Instructions to use Professor/yoruba-en-ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Professor/yoruba-en-ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Professor/yoruba-en-ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Professor/yoruba-en-ner-model") model = AutoModelForTokenClassification.from_pretrained("Professor/yoruba-en-ner-model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K