Instructions to use marcosgg/bert-base-gl-SLI-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosgg/bert-base-gl-SLI-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marcosgg/bert-base-gl-SLI-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-gl-SLI-NER") model = AutoModelForTokenClassification.from_pretrained("marcosgg/bert-base-gl-SLI-NER") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#1
by lbourdois - opened
Hi! A PR to add multilingual to the language tag to improve the referencing.
Thanks for your comment! This is a monolingual model for Galician/Portuguese. Galician and Portuguese are varieties of the same language (although they can be written using different spelling systems) so I don't see any reason to add the multilingual tag here.
marcosgg changed pull request status to closed