Instructions to use tartuNLP/EstBERT_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tartuNLP/EstBERT_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tartuNLP/EstBERT_512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tartuNLP/EstBERT_512") model = AutoModelForMaskedLM.from_pretrained("tartuNLP/EstBERT_512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (ca166024f403423570159cd50d80c5b1053a9154) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>26504e8
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Create README.md
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upload flax model
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allow flax
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initial commit
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