Instructions to use jirmauritz/robbert-v2-dutch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jirmauritz/robbert-v2-dutch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jirmauritz/robbert-v2-dutch-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jirmauritz/robbert-v2-dutch-base") model = AutoModelForMaskedLM.from_pretrained("jirmauritz/robbert-v2-dutch-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from jirmauritz/robbert-v2-dutch-base: direct link, hf CLI and curl.
- Browser
- Download file 594 MB
-
https://huggingface.co/jirmauritz/robbert-v2-dutch-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://jirmauritz/robbert-v2-dutch-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/jirmauritz/robbert-v2-dutch-base/resolve/main/tf_model.h5
594 MB
- Size of remote file:
- 594 MB
- SHA256:
- a8ecc092fe6b663c42461170e73cf6d4f942f3a578652ad7741f3c7ca7ed1d44
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