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 /May01_19-27-37_81ac69d984ff /events.out.tfevents.1714591669.81ac69d984ff.16404.1
- Xet hash:
- 6d6b0599eae2f95eb95dbcfae024abddd240c7e624da4ebe2d3d7a933808b41b
- Size of remote file:
- 5.18 kB
- SHA256:
- bf167bc5723c8d4604214eb25ee2c47285861ef1bb4acc2f4c1c1df8a8e2ef6b
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