Fill-Mask
Transformers
Safetensors
JAX
Dutch
modernbert
dutch
masked-language-model
fineweb2
pretrained
flax
Instructions to use yhavinga/dmbert-1024h-22l-fineweb2-2000000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yhavinga/dmbert-1024h-22l-fineweb2-2000000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yhavinga/dmbert-1024h-22l-fineweb2-2000000")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yhavinga/dmbert-1024h-22l-fineweb2-2000000") model = AutoModelForMaskedLM.from_pretrained("yhavinga/dmbert-1024h-22l-fineweb2-2000000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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