Instructions to use wietsedv/bert-base-dutch-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wietsedv/bert-base-dutch-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wietsedv/bert-base-dutch-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-dutch-cased") model = AutoModelForMaskedLM.from_pretrained("wietsedv/bert-base-dutch-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
upload flax model 2d09de2
allow flax 803d6b1
add missing char tokens to vocab (with embeddings close to [UNK]) ff8ab2f
Wietse de Vries commited on
Migrate model card from transformers-repo 9dbd6c0
Update tokenizer configuration c527ef3
Thomas Wolf commited on
Add tokenizer configuration f5fc2a2
Thomas Wolf commited on