Instructions to use wietsedv/bert-base-dutch-cased-finetuned-udlassy-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wietsedv/bert-base-dutch-cased-finetuned-udlassy-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wietsedv/bert-base-dutch-cased-finetuned-udlassy-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-udlassy-pos") model = AutoModelForTokenClassification.from_pretrained("wietsedv/bert-base-dutch-cased-finetuned-udlassy-pos") - Notebooks
- Google Colab
- Kaggle
Update modelcard.json
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modelcard.json
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{
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"caveats_and_recommendations": {},
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"ethical_considerations": {},
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"evaluation_data": {},
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"factors": {},
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"intended_use": {},
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"metrics": {},
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"model_details": "This model does not have a specific model card yet.\n\nYou can possibly find more information about model comparison and labels at [the Github page](https://github.com/wietsedv/bertje).",
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"quantitative_analyses": {},
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"training_data": {}
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}
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