Instructions to use vesteinn/XLMr-ENIS-QA-Is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/XLMr-ENIS-QA-Is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vesteinn/XLMr-ENIS-QA-Is")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vesteinn/XLMr-ENIS-QA-Is") model = AutoModelForQuestionAnswering.from_pretrained("vesteinn/XLMr-ENIS-QA-Is") - Notebooks
- Google Colab
- Kaggle
XLMr-ENIS-QA-Is
Model description
This is an Icelandic reading comprehension Q&A model.
Intended uses & limitations
This model is part of my MSc thesis about Q&A for Icelandic.
How to use
Limitations and bias
Training data
Translated English datasets were used along with the Natural Questions in Icelandic dataset.
Training procedure
Eval results
BibTeX entry and citation info
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