Instructions to use deep-learning-analytics/GrammarCorrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deep-learning-analytics/GrammarCorrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deep-learning-analytics/GrammarCorrector") model = AutoModelForSeq2SeqLM.from_pretrained("deep-learning-analytics/GrammarCorrector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14a0b6f52562a4d40a2390dc1954a18c3a98b8aefb0e28d77e0ca85f172007b4
- Size of remote file:
- 892 MB
- SHA256:
- ebe904081eba59ba9151310d624e20284c2be8bbf4e415701bce3c198357ea3d
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