Instructions to use Amir313/t5-base-spell-corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amir313/t5-base-spell-corrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Amir313/t5-base-spell-corrector") model = AutoModelForSeq2SeqLM.from_pretrained("Amir313/t5-base-spell-corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4faba416b6d12887aac733a8898534cbbc4de2172c120252c303ed6122bb5a6
- Size of remote file:
- 990 MB
- SHA256:
- 4074c6272f57245bbba7c4d8414638b01a2a156ca679a89eb6237db816fc182f
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