Instructions to use lfcc/bert-portuguese-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfcc/bert-portuguese-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lfcc/bert-portuguese-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lfcc/bert-portuguese-ner") model = AutoModelForTokenClassification.from_pretrained("lfcc/bert-portuguese-ner") - Notebooks
- Google Colab
- Kaggle
Add tag to model card metadata
#2
by librarian-bot - opened
To make your model more discoverable for domain experts, I suggest adding the lam (Libraries, Archives, and Museums) tag to your model card metadata.