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.1709347950.4b3192fc8cc0.599.1
- Xet hash:
- d83b4457dfccb6cae1f1ae678ab84f53d5f989c0270b3844cb27a8e613b2d0c7
- Size of remote file:
- 560 Bytes
- SHA256:
- 00f1ed6a3e99aa5d12af33f5932772576f3f3b417946e2b02a0a886c111d0a0d
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