Token Classification
Transformers
Safetensors
English
Portuguese
xlm-roberta
named-entity-recognition
metadata-extraction
bert
meeting-minutes
municipal-documents
Instructions to use anonymous13542/XLMR-large-metadata-council-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous13542/XLMR-large-metadata-council-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anonymous13542/XLMR-large-metadata-council-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anonymous13542/XLMR-large-metadata-council-en") model = AutoModelForTokenClassification.from_pretrained("anonymous13542/XLMR-large-metadata-council-en") - Notebooks
- Google Colab
- Kaggle
Ctrl+K