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")# pip install -U transformers accelerate # 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
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (87e58fd7c2e5d2e6898a2d052954d9839e363934) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8cad68b
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Updated NER trained by Caludia Commit by Hasan
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