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