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:
- e1cb6ee49728f88010ffba7e2006dea9f3ce033fc504863a0f7a19b985ba4d85
- Size of remote file:
- 498 MB
- SHA256:
- 8b7dd26a8fcdeb1965c928a44b36fc52c8363c61367063bddf11ba1ac3638b95
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