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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
494512f
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Parent(s): a8a1d9b
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ac4609e43482f877489959878361e488f1fcf510c2317a04c7d637f4ec4fe23
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size 497978787
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