Instructions to use oliverguhr/spelling-correction-english-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverguhr/spelling-correction-english-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("oliverguhr/spelling-correction-english-base") model = AutoModelForSeq2SeqLM.from_pretrained("oliverguhr/spelling-correction-english-base") - Notebooks
- Google Colab
- Kaggle
spelling-correction-english-base / runs /May16_13-19-40_redrod /events.out.tfevents.1652700037.redrod.57259.0
- Xet hash:
- 99fb0e74017536549b23befecdad2d30d4facacd051169c33be75d587ba5df35
- Size of remote file:
- 152 kB
- SHA256:
- 0fd0ae23f30532e57f34b77290b3c7a6755ce3821ca3ac2bee15fb801bda2bfd
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