Instructions to use vishnun/t5spellcorrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/t5spellcorrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vishnun/t5spellcorrector") model = AutoModelForSeq2SeqLM.from_pretrained("vishnun/t5spellcorrector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7478ddbfb44b273772ea98313dfeafdd3ed910e66dfa30a904824cb15449a565
- Size of remote file:
- 2.93 kB
- SHA256:
- 2aec5b6baee87b74ef58ecb63fbd1ce37c892d7b3cac0bd738a85d008c244180
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