Instructions to use popelucha/robeczech-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use popelucha/robeczech-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="popelucha/robeczech-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("popelucha/robeczech-NER") model = AutoModelForTokenClassification.from_pretrained("popelucha/robeczech-NER") - Notebooks
- Google Colab
- Kaggle
RobeCzech-NER
Model trained on RobeCzech base model (https://huggingface.co/ufal/robeczech-base) for the NER task. For NER, the CNEC corpus in CoNLL was used (https://lindat.cz/repository/xmlui/handle/11234/1-3493)
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