Instructions to use mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija") model = AutoModelForTokenClassification.from_pretrained("mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot