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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pdelobelle/robbert-v2-dutch-base: direct link, hf CLI and curl.
- Browser
- Download file 467 MB
-
https://huggingface.co/pdelobelle/robbert-v2-dutch-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pdelobelle/robbert-v2-dutch-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pdelobelle/robbert-v2-dutch-base/resolve/main/pytorch_model.bin
467 MB
- Xet hash:
- 3a013811d70a9d2ca5624988b4dc12fcf2ddb886acd45e99a1482a880382530d
- Size of remote file:
- 467 MB
- SHA256:
- 5a90b07b84f4f9ae78377bdbf9974defed7bc713b5c996c228051d12fac10326
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