Instructions to use EMBEDDIA/est-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBEDDIA/est-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EMBEDDIA/est-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/est-roberta") model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/est-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Updated tokenizer_config.json
Verified signatureThis fix should make the model tokenizer to load properly both in older transformers 4.x and the newest transformers 5.15.1eb8131e
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Fixed the tokenizer configuration to get it working with Transformers v5
Verified signature// For details about the fix, please see the issue: https://github.com/huggingface/transformers/issues/44991a546f91
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Added fast tokenizer
5b36f40
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Create README.md
cac6701 -
First version of estonian roberta
9d6b7e4 -
initial commit
09d59a6