Instructions to use mholi/finnish-nl-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mholi/finnish-nl-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mholi/finnish-nl-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mholi/finnish-nl-bert-model") model = AutoModelForMaskedLM.from_pretrained("mholi/finnish-nl-bert-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd700991063e515d6ecf72600bc22e038ce87069ce229d01c1d7de65aab0dd66
- Size of remote file:
- 498 MB
- SHA256:
- 5791f0e984e18e8c31e8778c5c85232e5f687db3365a1722cbb81509e98e5981
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