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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 918e54092214fb7663e957c53a7cea70f9d603e43fe7dbda5f280800fd7569b6
- Size of remote file:
- 559 Bytes
- SHA256:
- 702b76aff4c6e4476c8cc49068e96aff2aee8cf05ede79d6fb5f35993abea26e
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