Instructions to use tartuNLP/EstBERT_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/EstBERT_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tartuNLP/EstBERT_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tartuNLP/EstBERT_NER") model = AutoModelForTokenClassification.from_pretrained("tartuNLP/EstBERT_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb40560fac11e4af4d876b8bd877edd5fb9f8999fbb3adf352778875d2c71f0f
- Size of remote file:
- 1.52 kB
- SHA256:
- 583d3314eca89bdf16269122e11e0abc57b01587819d5c69464d12ea2b8b80f7
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