Instructions to use mideind/IceBERT-ic3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mideind/IceBERT-ic3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mideind/IceBERT-ic3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mideind/IceBERT-ic3") model = AutoModelForMaskedLM.from_pretrained("mideind/IceBERT-ic3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| Icelandic Common Crawl Corpus (IC3) | 4.9 GB | 824M |
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##
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The model is described in this paper [https://arxiv.org/abs/2201.05601](https://arxiv.org/abs/2201.05601). Please cite the paper if you make use of the model.
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| Icelandic Common Crawl Corpus (IC3) | 4.9 GB | 824M |
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## Citation
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The model is described in this paper [https://arxiv.org/abs/2201.05601](https://arxiv.org/abs/2201.05601). Please cite the paper if you make use of the model.
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