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 /Feb27_23-05-26_549e69c2bb60 /events.out.tfevents.1709075137.549e69c2bb60.1114.0
- Xet hash:
- bda21c1618518f7db3ea647cd971c84eb188360da28f6b4760c229c7732944a5
- Size of remote file:
- 11.3 kB
- SHA256:
- a1d91b6db5bc4e9f21964731707253b070e8eae0bd6c5d9ff9683cf79923d34b
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