Instructions to use BonySmoke/gec_uk_seq2tag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BonySmoke/gec_uk_seq2tag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BonySmoke/gec_uk_seq2tag")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BonySmoke/gec_uk_seq2tag") model = AutoModelForTokenClassification.from_pretrained("BonySmoke/gec_uk_seq2tag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add SPELLCHECKER
Verified signaturefbe32a8
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Fewer tags and more accurate tags
94ea110
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New Tokenization Approach
bf51180
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Correct Tokenization and Tagging
8ab7071
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Small fixes in Tags Indexes
39e4efd -
Return APPEND tag for punctuation
a652ede -
Remove APPEND tags as they don't work
a7fe985
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Add support for upper У and В. Also merge and split of не and на
1f4f3fd -
Update README.md
Add Initial validation results on UNLP 2023 Shared Task in Grammatical Error Correction for Ukrainiancbbbb26
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Fix multi-line tokenization bug
48c8821 -
Add generalization for у<>в та г<>ґ
1c579b0
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Add handing of є and е in Spelling mistakes
d974a29
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Improve Spelling and Add Verb Voice
fd219a1
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Add basic Support for Spelling mistakes
4ed5ec6
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End of training
1267cc2 -
Training in progress, epoch 1
60d29fa
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End of training
c97f273 -
Training in progress, epoch 2
4bbb3be -
Training in progress, epoch 1
8c800d9 -
initial commit
98a7cff