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 /Mar02_00-36-55_4b3192fc8cc0 /events.out.tfevents.1709339823.4b3192fc8cc0.599.0
- Xet hash:
- d740febc3a8a7a81b09954961b4c8eaaf9cb43e2ac0a61de717817a66f867117
- Size of remote file:
- 16.1 kB
- SHA256:
- 40557f41ea5541074da1ed3ad94bf0a26aa871c059a620f028ff1d9eb33cb911
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