Instructions to use DDSC/roberta-base-danish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDSC/roberta-base-danish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DDSC/roberta-base-danish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DDSC/roberta-base-danish") model = AutoModelForMaskedLM.from_pretrained("DDSC/roberta-base-danish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| '''Utility functions and variables used in other scripts''' | |
| from pathlib import Path | |
| root_dir = Path(__file__).parent.parent | |
| model_dir = '' # TODO: Needs to be set | |