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_19-14-43_81ac69d984ff /events.out.tfevents.1714590951.81ac69d984ff.16404.0
- Xet hash:
- 8ebe4a124bc4ae3d9263964b2f30654599848e9b7c6bda2e3709d36db647f86c
- Size of remote file:
- 10.3 kB
- SHA256:
- ed8d2f73624f529b505c46ba6be65b2c1e830805bd2b3cddd6ce017d8a9791f7
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