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
- Xet hash:
- 88d4fee17b3c4edd4849287896da503530eb424397cc4f9e723c6b3311bcdfd5
- Size of remote file:
- 558 MB
- SHA256:
- 322f77acbba30c2561085c99f3815f99f42fcc48674a6f5d4e785cbc16448b80
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