Instructions to use erickrribeiro/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickrribeiro/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="erickrribeiro/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("erickrribeiro/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("erickrribeiro/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
datasets:
- conll2003
language:
- en
widget:
- text: My name is Erick Ribeiro and I live in Manaus, Brazil
- example_title: Example 1
- text: Larissa is a programmer at the Luizalabs
- example_title: Example 2
- text: Raj lives in Brazil and works for Google
- example_title: Example 3
metrics:
- precision
- recall
- f1
- accuracy
pipeline_tag: token-classification
tags:
- ner
- nlp