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
File size: 167 Bytes
ce41b9a | 1 2 3 4 5 6 7 8 | '''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
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