Instructions to use MatricariaV/error-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatricariaV/error-correction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MatricariaV/error-correction") model = AutoModelForSeq2SeqLM.from_pretrained("MatricariaV/error-correction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80572bd2ce42e8d0167c26f0a2ffd58c894ba9e8b84b4759c6e8159d29f04f3a
- Size of remote file:
- 1.32 MB
- SHA256:
- 4fcc8ca830e320086a44a4e9a1e611e1de4ac6e229fdd8fde8aaf5651c6fbdec
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