Instructions to use davidpc99/multilanguageNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidpc99/multilanguageNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="davidpc99/multilanguageNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("davidpc99/multilanguageNER") model = AutoModelForTokenClassification.from_pretrained("davidpc99/multilanguageNER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - wikiann | |
| language: | |
| - fr | |
| - pt | |
| - ja | |
| - zh | |
| metrics: | |
| - accuracy | |
| pipeline_tag: token-classification | |