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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: cc-by-sa-4.0 | |
| language: | |
| - cs | |
| pipeline_tag: token-classification | |
| # 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) | |