Instructions to use DCU-NLP/bert-base-irish-cased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DCU-NLP/bert-base-irish-cased-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DCU-NLP/bert-base-irish-cased-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DCU-NLP/bert-base-irish-cased-v1") model = AutoModelForMaskedLM.from_pretrained("DCU-NLP/bert-base-irish-cased-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a76017236e70a3d5c05e89409201af3411eed0dde603b047f593433852df2a80
- Size of remote file:
- 439 MB
- SHA256:
- 2f53d90cd3c4789aafe67e5b0416370100c87fc3b65faf710302ee1121e87382
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