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
File size: 112 Bytes
ca84f82 | 1 2 3 4 5 6 7 8 9 10 11 12 | ---
datasets:
- wikiann
language:
- fr
- pt
- ja
- zh
metrics:
- accuracy
pipeline_tag: token-classification
--- |