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:
- 61a8671db51b452a52404628be17f6ed4c7815241213eb7552b52af7c9843d6e
- Size of remote file:
- 991 MB
- SHA256:
- 9b57eee2437304b11d31fb7a379d2279d7053a121e47d8e2147935ef42cc7202
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