Fill-Mask
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Dutch
roberta
Dutch
Flemish
RoBERTa
RobBERT
BERT
Instructions to use pdelobelle/robbert-v2-dutch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pdelobelle/robbert-v2-dutch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pdelobelle/robbert-v2-dutch-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pdelobelle/robbert-v2-dutch-base") model = AutoModelForMaskedLM.from_pretrained("pdelobelle/robbert-v2-dutch-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c551860b02d741d5be6a16cd4fab6b45bf6604f5d27d0aa73949be033d27a27
- Size of remote file:
- 467 MB
- SHA256:
- ffc6f03e7cc4031a1056b78251d156bbce74a97fbe32c7216d3a7aee97802278
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