Instructions to use Finnish-NLP/roberta-large-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/roberta-large-finnish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Finnish-NLP/roberta-large-finnish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/roberta-large-finnish") model = AutoModelForMaskedLM.from_pretrained("Finnish-NLP/roberta-large-finnish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35b2e5c15c262ef77e323de69625bf5f5f8da67b6b4adcb40f6134d95f2648a4
- Size of remote file:
- 1.42 GB
- SHA256:
- bd060494997f6c05f6c2c746dbe413a6c026c0375036ac88da6962620dcff63d
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