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_00-54-33_89edadff7c8f /events.out.tfevents.1708995276.89edadff7c8f.157.0
- Xet hash:
- d1f7ebd576769ec5c7c8c12919c311f11a2b319805229d42e4fca10237090ca7
- Size of remote file:
- 11.5 kB
- SHA256:
- 072c3991c0ba0923cc6f16eb38f27fbdf67001b1428917ca086c0e3cd10d5329
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