Instructions to use Sigurdur/ice-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sigurdur/ice-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sigurdur/ice-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Sigurdur/ice-roberta") model = AutoModelForMaskedLM.from_pretrained("Sigurdur/ice-roberta") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Sigurdur/ice-roberta")
model = AutoModelForMaskedLM.from_pretrained("Sigurdur/ice-roberta")Quick Links
rICE - Roberta based Icelandic masked language model
A masked language model trained on the IGC-News1 dataset. The project was inpired by this article https://doi.org/10.48550/arXiv.2201.05601
Author
Sigurdur Haukur Birgisson
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sigurdur/ice-roberta")