Instructions to use CodeNLP/pdn2_v08_nkjp_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeNLP/pdn2_v08_nkjp_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CodeNLP/pdn2_v08_nkjp_large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CodeNLP/pdn2_v08_nkjp_large") model = AutoModel.from_pretrained("CodeNLP/pdn2_v08_nkjp_large") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## About
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A transformer-based model for named entity recognition for Polish.
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## License
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[MIT](https://choosealicense.com/licenses/mit/
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---
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license: mit
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datasets:
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- nkjp-ner
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language:
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- pl
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tags:
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- poldeepner2
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- ner
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---
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## About
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A transformer-based model for named entity recognition for Polish.
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## License
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[MIT](https://choosealicense.com/licenses/mit/
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