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") - Inference
- Notebooks
- Google Colab
- Kaggle
Update model.ckpt.data-00000-of-00001
Browse files
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d953f7bbbd6028f3e9a7139bdb5ec6223e279db172d2db041613ae4ce527582
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size 1501020128
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