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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download checkpoint from wietsedv/bert-base-dutch-cased: direct link, hf CLI and curl.
- Browser
- Download file 36 Bytes
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https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/checkpoint
- Command line
-
hf download hf://wietsedv/bert-base-dutch-cased/checkpoint
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curl -L -o checkpoint https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/checkpoint
36 Bytes
| model_checkpoint_path: "model.ckpt" | |