Instructions to use marcosgg/bert-base-pt-ner-enamex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosgg/bert-base-pt-ner-enamex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marcosgg/bert-base-pt-ner-enamex")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-pt-ner-enamex") model = AutoModelForTokenClassification.from_pretrained("marcosgg/bert-base-pt-ner-enamex") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50e62bf0c3f8de857a6170236f3512ec43fd0c65984e3e010ae951c42e1968a6
- Size of remote file:
- 433 MB
- SHA256:
- b237dcdb04482852a4a7670a3ab0f58ca76d8dab9ff9a5bea0aa7873e62ce756
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