Instructions to use Neo87z1/STEKGramarChecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neo87z1/STEKGramarChecker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neo87z1/STEKGramarChecker") model = AutoModelForSeq2SeqLM.from_pretrained("Neo87z1/STEKGramarChecker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b252f5ddb7ad2205d7237377898c87a35ab1c2028911a5db718a884a0304f7
- Size of remote file:
- 892 MB
- SHA256:
- 10deee9a53b5c6d0f47f102c04d756a208a740cd6e00347715ff732b1ec01715
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