Instructions to use tartuNLP/EstBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/EstBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tartuNLP/EstBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tartuNLP/EstBERT") model = AutoModelForMaskedLM.from_pretrained("tartuNLP/EstBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50af099f5e2729a2b2549d9a2e47bb9d0aa918a55cce18695ab4a8421f6fbace
- Size of remote file:
- 498 MB
- SHA256:
- bc9a14d389aa14c4e491b16821e2383a9c4508f02b238e3d238623bb584340aa
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