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_19-32-23_81ac69d984ff /events.out.tfevents.1714591955.81ac69d984ff.16404.2
- Xet hash:
- 867859092d0dec0c596cf233f6d1ee85650726aa34929bf148ff69461464967a
- Size of remote file:
- 7.76 kB
- SHA256:
- efd25df02fe20cae177db5cc4493cdcc64b3df399c63a5e428f60d183a2a57a7
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