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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("deep-learning-analytics/GrammarCorrector") model = AutoModelForMultimodalLM.from_pretrained("deep-learning-analytics/GrammarCorrector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b85c4b6f3fd3a591d8a25dc717c66f48613ba4cacf3edf01a94e800ca0bc0a7
- Size of remote file:
- 892 MB
- SHA256:
- 064dbf1fbf20e5ee88da4b073a5862db27d2f4905af5aa97022add6b78708372
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