Instructions to use classla/bcms-bertic-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="classla/bcms-bertic-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-ner") model = AutoModelForTokenClassification.from_pretrained("classla/bcms-bertic-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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# The [BERTić](https://huggingface.co/CLASSLA/bcms-bertic)* [bert-ich] /bɜrtitʃ/ model fine-tuned for the task of named entity recognition in Bosnian, Croatian, Montenegrin and Serbian (BCMS)
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widget:
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license: apache-2.0
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# The [BERTić](https://huggingface.co/CLASSLA/bcms-bertic)* [bert-ich] /bɜrtitʃ/ model fine-tuned for the task of named entity recognition in Bosnian, Croatian, Montenegrin and Serbian (BCMS)
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