Instructions to use yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
nees-bert-base-portuguese-cased-finetuned-ner / runs /Feb27_00-54-33_89edadff7c8f /events.out.tfevents.1708999961.89edadff7c8f.157.1
- Xet hash:
- ffb8721244c9c15dd8676aac6f48d4deb556f4c796db214213fe228be577fd5a
- Size of remote file:
- 560 Bytes
- SHA256:
- 82feb8b5dbc7f7b4b9d25ae6998cd734743f93c15789c659e957ad53a8f7497b
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