Text Classification
Transformers
Safetensors
Dutch
bert
dutch
multi-head regression
text quality
sequence classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use Felixbrk/bert-base-dutch-cased-multi-score-text-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felixbrk/bert-base-dutch-cased-multi-score-text-only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Felixbrk/bert-base-dutch-cased-multi-score-text-only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Felixbrk/bert-base-dutch-cased-multi-score-text-only") model = AutoModelForSequenceClassification.from_pretrained("Felixbrk/bert-base-dutch-cased-multi-score-text-only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Based on the Dutch BERT (`GroNLP/bert-base-dutch-cased`).
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✅ Feel free to adapt the dataset name if you want to share more details.
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Let me know if you want a version for direct copy-paste into Colab! 🚀
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- Based on the Dutch BERT (`GroNLP/bert-base-dutch-cased`).
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