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")# pip install -U transformers accelerate # 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
File size: 424 Bytes
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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
--- |