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 /1652700037.2839358 /events.out.tfevents.1652700037.redrod.57259.1
- Xet hash:
- add7d14df9d1226cdada94e81ca0fb472a5365e14112b7221e91ee65e7775519
- Size of remote file:
- 5.37 kB
- SHA256:
- c62afb330ad964f947caafa548f9558c1ddd28629c7065d99d6c8710e8968be0
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