Instructions to use brunodorneles/ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brunodorneles/ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brunodorneles/ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brunodorneles/ner_model") model = AutoModelForTokenClassification.from_pretrained("brunodorneles/ner_model") - Notebooks
- Google Colab
- Kaggle
Meaning of each NER label
#2
by Ticiana - opened
Hi Bruno, could you please provide or refer to any paper/report that specifies the meaning of each NER class? I know the BIO format, but what does it mean DT, R, AS, etc. (https://huggingface.co/brunodorneles/ner_model/blob/main/idx2tag.json)?